Scientific Computing with Python
Austin, Texas • July 11-17, 2016
 

SciPy 2016 Tutorial Presenters

(scroll down for Talks & Posters Presenters)

Dani Arribas-Bel
University of Liverpool
Dani Arribas-Bel is Lecturer in Geographic Data Science and member of the Geographic Data Science Lab at the University of Liverpool (UK). Dani is interested in understanding cities as well as in the quantitative and computational methods required to leverage the power of the large amount of urban data increasingly becoming available. He is also part of the team of core developers of PySAL, the open-source library written in Python for spatial analysis. Dani regularly teaches Geographic Data Science and Python courses at the University of Liverpool and has designed and developed several workshops at different levels on spatial analysis and econometrics, Python and open source scientific computing.
 
Lorena Barba
George Washington University
Lorena A. Barba is an Associate Professor of Mechanical and Aerospace Engineering at the George Washington University in Washington, DC. Prof. Barba is an advocate of open-source software for science and open educational resources, and shares her courseware on iTunesU and YouTube. She is also interested in education technology, social learning and the recent spread of massively open online courses, as well as innovations in STEM education, including flipped classrooms and other forms of blended learning.Her research includes computational fluid dynamics, high-performance computing, computational biophysics and animal flight.
 
James A. Bednar
Solutions Architect
Continuum Analytics and University of Edinburgh
Dr. Jim Bednar is a Solutions Architect at Continuum Analytics. He is also an Honorary Fellow in the School of Informatics at the University of Edinburgh, Scotland. Dr. Bednar holds a Ph.D. in Computer Science from the University of Texas, along with degrees in Electrical Engineering and Philosophy. He has published more than 50 papers and books about the visual system and about software development. Dr. Bednar manages the open source Python projects HoloViews, ImagGen, Param, and Datashader. Before Continuum, Dr. Bednar was a lecturer and researcher in Computational Neuroscience at the University of Edinburgh, Scotland, as well as a software and hardware engineer at National Instruments.
 
Peter Bull
DrivenData
Peter is a co-founder at DrivenData, whose mission is to bring the power of data science to the social sector. Recently he has worked on projects in smart school budgeting, predicting trends in women’s healthcare, and improving public services by using novel data sources. He earned his master’s in Computational Science and Engineering from Harvard in 2014. Previously he worked as a software engineer at Microsoft and earned a BA in philosophy from Yale University.
 
Matthias Bussonnier
Jupyter/Ipython, University of California, Berkeley
Matthias is a member of the core IPython/Jupyter developer team. He also works full time for a postdoc on at the University of California, Berkeley. Matthias is working on integrating the notebook front end with real time collaboration tools like Google Drive to allow users to collaboratively edit notebook documents.
 
Ondřej Čertík
Los Alamos National Laboratory
Ondřej is the original author of SymPy, that he started in 2007. He earned his Ph.D. in Chemical Physics from University of Nevada, Reno in 2012, then he started as a PostDoc at Los Alamos National Laboratory (LANL) and was converted to a staff scientist there a year later. Ondřej uses Fortran and C++ for high performance production codes and Python for visualization, symbolic and numeric computation, and other tasks. He has co-taught a tutorial on SymPy at the SciPy 2013 conference.
 
Alexandre Chabot-LeClerc
Enthought
Alexandre Chabot-Leclerc is a Python trainer and developer at Enthought. He holds a Ph.D. in Electrical Engineering from the Technical University of Denmark. His graduate research was in the field of hearing research, where he developed models of human speech perception. Alexandre's interests include teaching, psychoacoustics, and rock climbing.
 
Matt Davis
 
Gil Forsyth
Gil Forsyth is a graduate student at the George Washington University in Washington, D.C., studying mechanical engineering and computational fluid dynamics. He is a contributor to xonsh and a proud open-source advocate. With Professor Lorena Barba, he helped create and teach GW's first MOOC: Practical Numerical Methods with Python. He was awarded Outstanding Graduate Teaching Fellow of the year for 2014 by the BU College of Mechanical Engineering
 
Harsh Gupta
IIT Kharagpur
Harsh is a SymPy developer and a student at IIT Kharagpur. He started the work on the new solveset module as his Google Summer of Code project in 2014, then he mentored a student in 2015 to improve and expand the work he started. He is interested in all aspects of Free and Open Source Software and a Free Society in general. He has interned at Continuum Analytics, he also helped create a [web portal highlighting the gender in the biographies on Wikipedia](http://wigi.wmflabs.org/). More recently he volunteered with [savetheinternet.in](http://savetheinternet.in) coalition which galvanized the support for net-neutrality in India ultimately leading to a prohibition on Zero Rating.
 
Jessica Hamrick
University of California, Berkeley
 
Ted Hart
 
Kathryn Huff
Fellow
University of California, Berkeley
Kathryn (Katy) Huff is a Fellow with the Berkeley Institute for Data Science and a postdoctoral scholar with the Nuclear Science and Security Consortium at the University of California Berkeley. In 2013, she received her Ph.D. in Nuclear Engineering from the University of Wisconsin Madison. She also holds a bachelor's degree in Physics from the University of Chicago. She has participated in varied research including experimental cosmological astrophysics, experimental non-equilibrium granular material phase dynamics, computational nuclear fuel cycle analysis, and computational reactor accident neutronics. She is a co-author of the new O'Reilly book "Effective Computation in Physics," was a co-founder of The Hacker Within, and has been an instructor for Software Carpentry since 2011. Among other professional service, she is the Chair of the Software Carpentry Foundation Steering Committee, a division officer in the American Nuclear Society, and has served three consecutive years as a SciPy organizer.
 
Amit Kumar
Delhi Technological University, India
Amit is a developer of SymPy and a Student of Delhi Technological University. He worked on a Google Summer of Code 2015 project under Python Software Foundation to improve the solvers and sets module of SymPy. He is a mentor for solvers project in GSoC 2016 for SymPy. Amit has taught a tutorial on SymPy at FOSSASIA 2016 conference at Singapore. He has given several talks at PyDelhi Meetups and assisted the SymPy workshop at PyCon India 2015.
 
Eric Ma
MIT
I am a 5th year PhD candidate in the Department of Biological Engineering, MIT. My thesis work is themed on data science for infectious disease, and I am building towards a unified epidemiology dashboard for predicting pathogen risk from genomic data. Network statistics is featured heavily in one of my publications. In sharing technical knowledge, I believe strongly in the importance of working together with other people who are at a similar level; hence, partnering up and working in groups is highly encouraged in workshops that I lead.
 
Michael McKerns
UQ Foundation
 
Robert McMurry
University of California, Davis
 
Aaron Meurer
Aaron is the lead developer of SymPy. He work with Anthony Scopatz at ERGS. He used to work at Continuum Analytics on Anaconda and the conda package manager. He has co-taught tutorials on SymPy as previous SciPy conferences (2011, 2013, and 2014).
 
Brandon Milam
University of Florida, Gainsville
 
Jason Moore
Lead Developer
PyDy
Jason is a lead developer with both the PyDy and SymPy projects. He utilizes both packages to run optimal control algorithms for biomechanical systems, in particular data driven powered prosthetic designs. He is a strong proponent for Open Science and has a PhD in Mechanical and Aerospace Engineering from UC Davis.
 
Andreas Mueller
New York University Center for Data Science
Andreas is an Assistant Research Scientist at the NYU Center for Data Science, building a group to work on open source software for data science. Previously he worked as a Machine Learning Scientist at Amazon, working on computer vision and forecasting problems. He is one of the core developers of the scikit-learn machine learning library, and maintained it for several years. His mission is to create open tools to lower the barrier of entry for machine learning applications, promote reproducible science and democratize the access to high-quality machine learning algorithms.
 
Aileen Nielsen
Since completing degees in anthropology, law, and physics from Princeton, Yale, and Columbia respectively, Aileen Nielsen has worked in corporate law, physics research laboratories, and, most recently, NYC startups oriented towards improving daily life for under-served populations - particularly groups who have yet to fully enjoy the benefits of mobile technology. She has interests ranging from defensive software engineering to UX designs for reducing cognitive load to the interplay between law and technology. Aileen is currently working as a software engineer at One Drop, a diabetes management platform aiming to apply data science to lighten the burden on people struggling with a chronic illness.
 
Juan Nunez-Iglesias
University of Melbourne
Juan Nunez-Iglesias is a research scientist at the Life Sciences Computation Centre, University of Melbourne, Australia. He has taught scientific Python at SciPy, EuroSciPy, the G-Node Summer School, and at other workshops. He is the author of the upcoming O'Reilly title "Elegant SciPy".
 
Sebastian Raschka
Sebastian Raschka is the author of the bestselling book “Python Machine Learning.” As a Ph.D. candidate at Michigan State University, he is developing new computational methods in the field of computational biology. Sebastian has many years of experience in Python programming and has given several seminars on the practical applications of data science and machine learning. Sebastian loves to write and talk about data science, machine learning, and Python, and he is really motivated to help people developing data-driven solutions without necessarily requiring a machine learning background. Sebastian is also actively contributing to open source projects, and methods that he implemented are now successfully used in machine learning competitions such as Kaggle.
 
Serge Rey
Arizona State University
Sergio Rey is professor of geographical sciences and core faculty member of the GeoDa Center for Geospatial Analysis and Computation at the Arizona State University. His research interests include open science, spatial and spatio-temporal data analysis, spatial econometrics, visualization, high performance geocomputation, spatial inequality dynamics, integrated multiregional modeling, and regional science. He co-founded the Python Spatial Analysis Library (PySAL) in 2007 and continues to direct the PySAL project. Rey is a fellow of the spatial econometrics association and editor of the journal Geographical Analysis.
 
Min RK
University of California, Berkeley
Min Ragan-Kelley (@minrk) received his PhD in computational plasma physics from the University of California, Berkeley in 2013. He has been a member of the core IPython development team since 2006, when he wrote the first version of IPython’s parallel computing capabilities as his undergraduate thesis at Santa Clara University. He now works full time on IPython at UC Berkeley.
 
Jonathan Rocher
KBI BioPharma
 
Matthew Rocklin
Continuum Analytics
Matthew is a computational scientist at Continuum Analytics and full time open source developer within the scientific python ecosystem. He holds a PhD in Computer Science from the University of Chicago and undergraduate degrees in Mathematics and Physics from the University of California at Berkeley. His research crosses numerical linear algebra, computer algebra, and distributed systems. He builds libraries for out-of-core and distributed computing that target non-expert users.
 
Ariel Rokem
Software Carpentry
Trained in cognitive neuroscience (PhD: UC Berkeley, 2010) and computational neuroimaging (Postdoc, Stanford, 2011-2015), Ariel is now a data scientist at the University of Washington eScience Institute, where he continues to develop software for the analysis of human neuroimaging data, teaches reproducible and open research practices, and collaborates with researchers from a variety of fields to advance their data-intensive research.
 
Nicolas Rougier
INRIA Bordeaux Sud-Ouest, Talence, France, Neurodegenerative Diseases Institute, University of Borde
I'm a full-time research scientist at INRIA which is the French National Institute for Research in Computer Science and Control. I'm working within the Mnemosyne project which lies at the frontier between integrative and computational neuroscience in association with the Institute of Neurodegenerative Diseases.
 
Sartaj Singh
IIT BHU
Sartaj is a developer with SymPy and a student of IIT BHU. He has been involved with the project for over an year. He also worked on a Google Summer of Code project with SymPy in 2015 'Improving the series package and limits in SymPy'. Sartaj also assisted with the SymPy workshop at PyCon India, 2015. He has also co-taught courses on Python.
 
Isaac Slavitt
DrivenData
 
Bargava Subramanian
Bargava Subramanian is a Senior Data Scientist at Cisco Systems, India. He has a Masters in Systems Engineering/Statistics from University of Maryland, College Park, USA. He has 12 years experience delivering business analytics solutions to Investment Banks, Entertainment Studios and High-Tech companies. He is an ardent NBA fan.
 
Bryan Van de Ven
Continuum Analytics
Bryan studied undergraduate Computer Science and Mathematics at UT Austin, and earned a Master's degree in Physics at UCLA. Currently he leads the technical effort for work done on the Bokeh project at Continuum Analytics. Previously, he has worked on feature detection and classification systems for submarine platforms, automated tools for financial risk modeling, and workflow optimization for fluid mixing simulations. He has also taught Basic, Advanced, and Scientific Python courses to more than 1500 students in the last four years.
 
Stefan van der Walt
University of California, Berkeley
Stefan van der Walt is an assistant researcher at the Berkeley Institute for Data Science and a senior lecturer in applied mathematics at Stellenbosch University, South Africa. He has been an active member of the scientific Python community since 2006, and frequently teaches Python at workshops and conferences. He is the founder of scikit-image and a contributor to numpy, scipy and dipy.
 
Greg Wilson
Software Carpentry
Greg Wilson is the co-founder of Software Carpentry, a crash course in computing skills for scientists and engineers. Currently its Director of Instructor Training, he has worked for 30 years in both industry and academia, and is the author or editor of several books on computing and two for children. Greg received a Ph.D. in Computer Science from the University of Edinburgh in 1993, and is a proud member of the Python Software Foundation.
 
Ben Zaitlen
Data Scientist
Continuum Analytics
Ben is a data scientist and developer at Continuum Analytics. He has several years of experience with Python and is passionate about any and all forms of data. Part of his duties at Continuum include exploring a vast array of data (social networks, climate, astronomy, biology, finance, etc.), in addition to building tools to help others in the data munging world.
 

SciPy 2016 Talks Presenters

Abhinav Agarwal
Indian Institute of Technology Kharagpur
Abhinav Agarwal is a student at IIT Kharagpur and symengine developer. He uses C++ for high performance production codes. He is also interested in writing scripts to automate tasks. He is a member of Artificial Intelligence Team of KRSSG and will be representing his team at RoboCup 2016 at Germany. He is very enthusiastic in learning more about Machine Learning and Artificial Intelligence. He qualified for ACM ICPC regionals 2016. He believes that quantum computing will bring revolution to computer science field.
 
Joel Akeret
ETH Zurich
Joel is a software engineer working in the interdisciplinary Cosmology Research Group at the Institute for Astronomy of the federal technical university of Switzerland (ETH Zurich). He’s main field of interest is the development of numerical simulations and data analysis in different astronomy fields. He is also author of different Python open source projects and co-organizer of the Swiss Python Summit.
 
Daniel Allan
Brookhaven National Lab
 
Elaine Angelino
 
Demba Ba
Harvard University
 
Jonathan Barnoud
University of Groningen, The Netherlands
 
Oliver Beckstein
Arizona State University
 
James A. Bednar
Solutions Architect
Continuum Analytics and University of Edinburgh
Dr. Jim Bednar is a Solutions Architect at Continuum Analytics. He is also an Honorary Fellow in the School of Informatics at the University of Edinburgh, Scotland. Dr. Bednar holds a Ph.D. in Computer Science from the University of Texas, along with degrees in Electrical Engineering and Philosophy. He has published more than 50 papers and books about the visual system and about software development. Dr. Bednar manages the open source Python projects HoloViews, ImagGen, Param, and Datashader. Before Continuum, Dr. Bednar was a lecturer and researcher in Computational Neuroscience at the University of Edinburgh, Scotland, as well as a software and hardware engineer at National Instruments.
 
Sebastian Benthall
Ion Channel, UC Berkeley School of Information
Sebastian Benthall is a Data Scientist at Ion Channel and a PhD Candidate at UC Berkeley's School of Information
 
Eli Bressert
Stitch Fix
Eli Bressert loves big ideas and putting them into action by connecting the impossible. He is head of Data Labs at Stitch Fix where his team researches exponential technologies and methodologies for data science operations with focus on machine learning, NLP, computer vision, and neural networks. Eli has an astronomically biased history where he obtained a PhD in astrophysics, produced media-quality visualizations for the Chandra X-ray Space Telescope, and developed new models on star formation. Eli is a mentor to Singularity, advisor to Authorea, and author of the NumPy & SciPy O'Reilly book.
 
Steven Brumby
Descartes Labs
 
Sébastien Buchoux
Université de Picardie Jules Verne, France
 
Greg Caporaso
 
Cathryn Carson
University of California, Berkeley
Cathryn Carson helps lead a team of faculty, students, researchers, and staff who have been standing up Berkeley's new Data Science Education Program. She is part of the leadership of Berkeley's overall data science initiative, which is now building out to graduate education and research. She co-leads the Education and Training Working Group in the Berkeley Institute for Data Science (BIDS), one of three university-based Moore-Sloan Data Science Environments. Her faculty appointment at Berkeley is in the Department of History. In a previous life she was in computational condensed matter physics.
 
Thomas Caswell
Brookhaven National Lab
 
Ondřej Čertík
Los Alamos National Laboratory
Ondřej is the original author of SymPy, that he started in 2007. He earned his Ph.D. in Chemical Physics from University of Nevada, Reno in 2012, then he started as a PostDoc at Los Alamos National Laboratory (LANL) and was converted to a staff scientist there a year later. Ondřej uses Fortran and C++ for high performance production codes and Python for visualization, symbolic and numeric computation, and other tasks. He has co-taught a tutorial on SymPy at the SciPy 2013 conference.
 
Rick Chartrand
Descartes Labs
 
Eric Chisolm
Descartes Labs
 
Shreyas Cholia
Lawrence Berkeley National Laboratory
 
Rowan Cockett
The University of British Columbia
 
Chris Colbert
Software Architect
Continuum Analytics
Chris is a software architect for Continuum Analytics, and is based in the New York City area. He has worked previously for top Wall St. firms and was the lead designer of the UI framework for a front office trading platform. He is the creator of the PhosphorJS and Nucleic projects, which provide libraries for developing enterprise quality applications on the desktop and in the browser. He received his MS in Mechanical Engineering from the University of South Florida.
 
Carlos Cordoba
Software Developer
Continuum Analytics
Carlos has a Bachelors degree in Physics from University of Valle (Colombia) and a Masters degree in Physics from National University of Colombia. Currently, Carlos works with Continuum Analytics. Carlos is also the Spyder current maintainer. His most important contributions to the project have been the IPython qtconsole integration and Object Inspector plugin to read docstrings rendered as beautiful HTML pages (with Sphinx's help). Carlos's main interests are computational science (computational physics before and computational social science right now) and helping to improve open source platforms to do this kind of science.
 
Sylvain Corlay
 
Joseph Cottam
 
Jim Crist
Software Developer
Continuum Analytics
Jim Crist holds a Bachelors and a (tentative) Masters in Mechanical Engineering from the University of Minnesota. Whilst procrastinating on his thesis, he got involved in the scientific Python community. He is currently a software developer at Continuum Analytics.
 
David Culler
 
Afshin Darian
 
John DeNero
 
Jan Dománski
University of Oxford, UK, NIH NIDDK
 
David Dotson
Arizona State University
David Dotson is a Ph.D. student in the Beckstein Lab at the Center for Biological Physics at Arizona State University. David works to understand the detailed molecular mechanisms of membrane proteins using atomistic simulations, and spends much of his time writing code to distill useful information from the ever-growing volume of simulation data we can now produce. Although his background is in physics, his strategies for tackling problems in molecular mechanics are increasingly taking cues from the data science world. David is a core developer of MDAnalysis and the lead developer of datreant, a package that gives a Pythonic interface to the filesystem.
 
Philip Elson
Met Office
 
Yu Feng
Berkeley Center for Cosmological Physics, Berkeley Institute for Data Science
 
Isuru Fernando
 
Eduardo Franco
Descartes Labs
 
Stuart Geiger
University of California, Berkeley, Berkeley Institute for Data Science
R. Stuart Geiger is an ethnographer and post-doctoral scholar at the Berkeley Institute for Data Science at UC-Berkeley, where he studies the infrastructures and institutions that support the production of knowledge. His Ph.D research at the UC-Berkeley School of Information focused on the governance and operation of Wikipedia and scientific research networks. He has studied topics including newcomer socialization, moderation and quality control, specialization and professionalization, cooperation and conflict, the roles of support staff and technicians, and diversity and inclusion.
 
Richard Gowers
University of Manchester
 
Brian Granger
Cal Poly State University, Project Jupyter
Brian is an Associate Professor of Physics and Data Science at Cal Poly State University in San Luis Obispo, CA. He is a leader of the IPython project, co-founder of Project Jupyter and is an active contributor to a number of other open source projects focused on data science in Python. He is a board member of the NumFOCUS Foundation and a faculty fellow of the Cal Poly Center for Innovation and Entrepreneurship.
 
Jason Grout
Bloomberg LP
 
Daniel Gunter
Lawrence Berkeley National Laboratory
 
Brendon Hall
Enthought
Brendon has a Ph.D. in mechanical engineering from the University of California, Santa Barbara, and a B.Eng. in mechanical engineering and B.Sc. in computer science from Western University in Canada. His graduate research focused on the numerical simulation of sediment transport by turbidity currents. Before joining Enthought, Brendon worked as a research scientist in the energy industry on projects including process based geologic modeling, computational geomechanics, uncertainty analysis for asset development, and the development of an application framework for quantitative interpretation.
 
Matar Haller
University of California, Berkeley
 
Jessica Hamrick
University of California, Berkeley
 
Deborah Hanus
Harvard University
Deborah Hanus graduated MIT with a Masters in Electrical Engineering & Computer Science. As a Fulbright Scholar in Cambodia, she learned about how education translates into job creation in technology. After working as an early engineer at a software company, she decided to take an extended hiatus to work on exciting data-related projects as a machine learning researcher at Harvard University.
 
Cyrus Harrison
Lawrence Livermore National Laboratory
 
Lindsey Heagy
 
John Healy
 
Josef Heinen
Forschungszentrum Jülich GmbH
Josef Heinen is the head of the group "Scientific IT–Systems" at the Peter Grünberg Institute / Jülich Centre for Neutron Science, both institutes at Forschungszentrum Jülich, a leading research centre in Germany. The design and development of visualization systems have been an essential part of his activities over the last twenty years. Most recently his team is engaged with the further development of a universal framework for cross-platform visualization applications (GR Framework).
 
Brian Helba
 
Chris Holdgraf
University of California, Berkeley
 
Catherine Holloway
Catherine Holloway is a physicist now working as an engineer at a Quantum Computing startup. In her spare time she likes metal and prog rock and programming.
 
Patrick Huck
Lawrence Berkeley National Laboratory
 
Anubhav Jain
Lawrence Berkeley National Laboratory
 
Eric Jones
CEO
Enthought
Eric Jones has a broad background in engineering and software development and is CEO at Enthought. Prior to co-founding Enthought, Eric worked in the fields of numerical electromagnetics and genetic optimization. He has taught numerous courses about Python and it's use in scientific computing. Eric holds M.S. and Ph.D. degrees from Duke University in Electrical Engineering and a B.S.E. in Mechanical Engineering from Baylor University. He also is a member of the Python Software Foundation.
 
Ryan Keisler
Descartes Labs
 
Tim Kelton
Descartes Labs
 
Ian Kenney
Arizona State University
 
Almar Klein
Continuum Analytics, Freelancer
Studied Electrical Engineering, followed by a PhD in Medical Image Analysis, during which he came across Python, and got hooked. Now trying to make Python easier to use for the common scientist (e.g. by teaching it to PhD students). Interested in visualization (developer on Visvis, Vispy, Bokeh). Freelancer, working with Continuum Analytics.
 
Caitlin Kontgis
Descartes Labs
 
Adam Kunen
Lawrence Livermore National Laboratory
 
Siu Kwan Lam
Software Developer
Continuum Analytics
Siu Kwan Lam is a software developer at Continuum Analytics and the lead developer of the Numba open source compiler project. He has a B.S. and M.S. degree in Computer Engineering from San Jose State University. He taught CUDA at San Jose State University during his senior year and has researched TCP covert channel detection for NSF, STC, and TRUST.
 
Ben Lasscock
Geotrace Technologies
PhD Theoretical Physics (Lattice Quantum Chromodynamics). Next 5 years High frequency trading building automated trading systems. Last 4 years oil and gas in Houston working on Quantitative Interpretation and microseismic monitoring solutions.
 
Bill Lattner
 
Sam Lau
University of California, Berkeley
Sam Lau is a student at Berkeley and a technical lead in the Data Science Education Program. His interest in education and teaching led him to help teach the first iterations of Data 8, the freshman-level data science course. Currently, he mainly works on scaling up the JupyterHub deployment of the DS program to serve other classes and departments. He is a leader in Cal Blueprint, a student group that builds web and mobile apps for nonprofits pro bono.
 
Kenneth Lauer
Brookhaven National Lab
 
John Leeman
John is a PhD candidate working on experimental earthquake physics. His most recent work studies the dynamics of slow earthquakes by employing new instrumentation, laboratory, and data analysis techniques. His first research involved building electromagnetic instrumentation to investigate EM fields around severe thunderstorms and tornadoes. He received a B.S. in meteorology, a B.S. in geophysics, and a minor in mathematics from the University of Oklahoma in 2012. While at OU he was active in gas hydrates research, and continued that work at Oak Ridge National Laboratory. Afterwards he was an intern at NASA in the GN&C Autonomous Flight Systems Branch of the Aeroscience and Flight Mechanics Division for the Morpheus lunar lander working as a programmer. John is a National Science Foundation Graduate Fellow and two time recipient of the AGU outstanding student paper award.
 
Richard Lewis
 
Max Linke
Max Planck Institute of Biophysics
 
Ryan Lovett
 
Chi-keung Luk
Intel
CK Luk is a Principal Engineer in the Software and Services Group at Intel, currently focusing on GPU programming tools. He was one of the original developers of the Pin Dynamic Instrumentation System. He received an ACM SIGPLAN Most Influential PLDI paper award, an Intel achievement award, and a nomination for the ACM Doctoral Dissertation award. More information about CK can be found at www.ckluk.org/ck.
 
Anton Malakhov
Intel Corporation
Anton has served as software development engineer at Intel Corporation for 10 years. He is experienced in multi-core (shared memory) parallelism, dynamic task scheduling, and concurrent containers thanks to 9 years at the Intel Threading Building Blocks (TBB) project (http://www.threadingbuildingblocks.org/). Now, Anton works for the Intel Distribution for Python project, researching ways to implement better parallelism support for the Python environment. LinkedIn: http://linkedin.com/in/antonmalakhov/
 
Katie Malone
Civis Analytics
 
Mark Mathis
Descartes Labs
 
Devin Matthews
The University of Texas at Austin
 
Ryan May
UCAR/Unidata
Software engineer focused on developing meteorological software in Python.
 
Leland McInnes
Tutte Institute for Mathematics and Computing
 
Manuel Melo
University of Groningen, The Netherlands
 
Aaron Meurer
University of South Carolina, SymPy
Aaron Meurer is a research scientist at the University of South Carolina in the ERGS research group. He is also the lead developer for the SymPy project.
 
Michael Milligan
Minnesota Supercomputing Institute, University of Minnesota
Michael is Head of Application Development and a member of the Scientific Computing group at the Minnesota Supercomputing Institute. His background is in astronomical instrumentation and data analysis, but loves that the MSI gives him constant opportunities to jump into new fields and technologies. Recently he has been leading the MSI's Interactive Supercomputing initiatives, where JupyterHub has become an important component.
 
Daniela Moody
Descartes Labs
 
Andreas Mueller
Andreas is an Research Engineer at the NYU Center for Data Science, building open source software for data science. Previously he worked as a Machine Learning Scientist at Amazon, developing solutions for computer vision and forecasting problems. He is one of the core developers of the scikit-learn machine learning library, and has co-maintained it for several years. His mission is to create open tools to lower the barrier of entry for machine learning applications, promote reproducible science and democratize the access to high-quality machine learning algorithms.
 
Jaya Narasimhan
University of California, Berkeley
 
Brett Naul
UC Berkeley
 
Kyle Niemeyer
Assistant Professor
Oregon State University
Kyle is an Assistant Professor in the School of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University in Corvallis, OR. His research spans topics in computational modeling of combustion and fluid dynamics, with interests in chemical kinetic model reduction, development, and validation; alternative and surrogate fuels; techniques for graphics processing unit acceleration; turbulence-chemistry interaction; and fluid-structure interaction. Kyle is also involved in efforts to standardize citation of software as a research product, and is on the editorial boards of the Journal of Research Software (JORS), Journal of Open Engineering, and Journal of Open Source Software (JOSS). He received his PhD in Mechanical Engineering from Case Western Reserve University in August 2013.
 
Cameron Oelsen
 
Andrew Osheroff
HHMI Janelia
Andrew is software developer working on the Binder project in the Freeman Lab at the HHMI's Janelia Research Campus.
 
Tomas Ostasevicius
University of Cambridge
Tomas is currently a PhD student in Electron Microscopy group in the University of Cambridge. He is mostly busy either analysing EM data or developing [HyperSpy](http://hyperspy.org/). In particular, he has the most experience in non-linear regression and strives to bring HyperSpy over the big-data threshold.
 
Michael Pacer
University of California, Berkeley
 
Randy Paffenroth
 
Chan Park
Rutgers University
I am a theoretical physicist and a postdoctoral fellow at New High Energy Theory Center, Rutgers University, NJ, USA. My current research topic is string theory, especially on the subjects at the intersection of physics, mathematics, and programming. Before getting a Ph.D. in physics from Caltech in 2014, I worked as a web programmer and a system programmer from 2003 to 2005.
 
Gonzalo Peña-Castellanos
Continuum Analytics
Gonzalo Peña-Castellanos is a Water Resources Engineer with B.S. in Civil Engineering, an MSc. in Hydroinformatics and an MSc. in Sanitary Engineering. Since 2009, Gonzalo has been working with the Python language and it's scientific computing stack to solve problems related to Hydrology (Stochastic Downdscaling of Precipitation), Hydraulics (River dynamics modelling) and Water Quality (Biological Reactors Simulation). He is currently the Technical Lead for the Anaconda Navigator project and a core developer for the Scientific PYthon Development EnviRonment - Spyder, and related projects (QtPy, QtAwesome, Conda-Manager).
 
Fernando Perez
Lawrence Berkeley National Laboratory/Berkeley Institute for Data Science
 
Kristin Persson
Lawrence Berkeley National Laboratory
 
James Powell
James is a volunteer at NumFOCUS, the 501(c)3 non-profit that supports and promotes open source in data science, data analytics, and scientific computing. At NumFOCUS, he serves as an office of the board, helping to organize the PyData conference series.
 
Min Ragan-Kelley
IPython/Jupyter, Simula Research Lab
Min has been a core contributor to Jupyter and IPython since 2006. He also maintains the PyZMQ messaging library. Currently postdoctoral researcher in biomedical computing at Simula Research Lab.
 
Prabhu Ramachandran
Enthought and IIT Bombay
Prabhu Ramachandran has been a faculty member at the Department of Aerospace Engineering, IIT Bombay, since 2005. His research interests are primarily in particle methods and applied scientific computing. He has been active in the FOSS community for more than a decade. He co-founded the Chennai Linux User Group in 1998 and is the creator, and lead developer of Mayavi. He has contributed to the Python wrappers of the Visualization Toolkit. Prabhu has a Ph.D. in Aerospace Engineering from IIT Madras. He is an active member of the SciPy community as well as a member the Society for Industrial and Applied Mathematics and a nominated member of the Python Software Foundation. Prabhu is also this year's SciPy Co-Chair.
 
Thilina Rathnayake
 
Tyler Reddy
University of Oxford, UK
 
Matthew Rocklin
Continuum Analytics
Matthew is a computational scientist at Continuum Analytics and full time open source developer within the scientific python ecosystem. He holds a PhD in Computer Science from the University of Chicago and undergraduate degrees in Mathematics and Physics from the University of California at Berkeley. His research crosses numerical linear algebra, computer algebra, and distributed systems. He builds libraries for out-of-core and distributed computing that target non-expert users.
 
Nicholas Ronnei
Michigan State University
I'm a Research Assistant at MSU studying error and uncertainty in global digital elevation models (GDEM and SRTM). My work focuses on communicating error in uncertainty to end users of the data in a meaningful way. I can develop the full stack, but am most comfortable using JS APIs from Leaflet, Mapbox, and Google Maps on the front end. I use Python for processing, analyzing, and disseminating geospatial data almost daily. I speak Node JS, JavaScript, HTML, CSS, and (most importantly) Python. I'm learning R. Running Ubuntu 14.04 and Windows 10.
 
Xander Rudelis
Descartes Labs
 
Philipp Rudiger
Software Engineer
Continuum Analytics
Philipp works on developing open source and client specific software solutions for data management, visualization and analysis at Continuum Analytics and is the co-creator of Holoviews. Additionally, Philipp is interested in computational modeling of the brain and is currently still working on completing his PhD in the field. Philipp's main research area is in understanding the mammalian visual system through computational modeling. In particular, his research explores how cortical circuits self-organize through activity dependent processes, encode the visual statistics of the environment and give rise to the functional properties of the cortex.
 
Brian Ryujin
Lawrence Livermore National Laboratory
 
Anthony Scopatz
University of South Carolina
 
Stanley Seibert
Continuum Analytics
 
Sean Seyler
Arizona State University
 
Juan Shishido
University of California, Berkeley
 
Steven Silvester
Continuum Analytics
 
Samuel Skillman
Descartes Labs
 
Daniel Smith
Georgia Institute of Technology, Software Carpentry, Psi4 Organization
 
Jonathon Smith
 
Nathaniel Smith
UC Berkeley
 
Brendan Smithyman
3point Science, University of Western Ontario
Brendan Smithyman is a developer and researcher with a background in seismic imaging and inversion. Brendan holds a B.Sc in Geological Engineering from Queen’s University, Kingston, Canada, and a Ph.D in Geophysics from The University of British Columbia, Vancouver, Canada. Following his time as a student at UBC, he went on to a Postdoctoral Fellowship at the Seismic Laboratory for Imaging and Modeling (SLIM), UBC, followed by a NSERC Postdoctoral Fellowship at the University of Western Ontario, London, Canada. On the geophysical front, Brendan has published several papers dealing with nonlinear seismic Full-Waveform Inversion (FWI), and is the lead developer of the open source project Zephyr (https://zephyr.space/), which integrates with SimPEG (http://simpeg.xyz) and implements parallel seismic waveform modelling and inversion. Brendan is an instructor for Software Carpentry, an organization aimed at teaching programming techniques to data scientists. Brendan has also developed several geophysical utility libraries, including a Python-based library for accessing SEG-Y format datasets.
 
Jean-Luc Stevens
Software Engineer
Continuum Analytics
Jean-Luc works as a software engineer for Continuum Analytics and is a final-year PhD in computational neuroscience at the University of Edinburgh working on large-scale models of the primary visual cortex. His scientific code is exclusively written in Python and is openly accessible together with his research publications under a BSD license on GitHub. Much of his work has been aimed at making reproducible and open research a practical reality in Python, with particular emphasis on effective use of the IPython Notebook environment. In particular, Jean-Luc has authored two new open source projects, HoloViews and Lancet, that improve scientific reproducibility and that are in regular use by researchers outside of his own field.
 
Bargava Subramanian
Bargava Subramanian is a Senior Data Scientist at Cisco Systems, India. He has a Masters in Systems Engineering/Statistics from University of Maryland, College Park, USA. He has 12 years experience delivering business analytics solutions to Investment Banks, Entertainment Studios and High-Tech companies. He is an ardent NBA fan.
 
Jordan Suchow
University of California, Berkeley
 
Chih-Jen Sung
University of Connecticut
 
Matthew Turk
University of Illinois
 
Yoshiki Vazquez-Baeza
Department of Computer Science and Engineering, University of California, San Diego
 
Peter Wang
 
Michael Warren
Descartes Labs
 
Bryan Weber
University of Connecticut
 
Mark Wickert
Dr. Mark Wickert is a full professor in the Electrical and Computer Engineering Department at the University of Colorado Colorado Springs. He received his BS and MS in Electrical Engineering from Michigan Technological University and his Ph.D. from Missouri University of Science and Technology. In 2013 he published the book Signals and Systems for Dummies, featuring the using of open source Python for signal modeling and simulation. His primary teaching and research interests are in communications and signal processing, such as digital communications, sensor networks, cognitive radio, software defined radio, digital signal processing, and statistical signal processing. He has worked as a consultant to many local companies in a variety signal processing topics, both commercial and government. He has a great passion for teaching, and for well over ten years has taught courses in real-time digital signal. Recently he started teaching real-time DSP using the ARM Cortex-M family. In his consulting work and teaching he enjoys using open-source design and analysis tools, such as Python via the Jupyter notebook.
 
Mark Wiebe
Thinkbox Software
Mark Wiebe oversees the development of Thinkbox Software’s powerful standalone point cloud meshing application Sequoia. Wiebe came to Thinkbox in 2014 from Continuum Analytics, where he focused on connecting the Python scientific computing and data science ecosystems in part through the creation of the open source DyND library. He also spent seven years as Director of R&D at Frantic Films, where he helped initiate and guide the high-volume compute management solution Deadline, the particle renderer Krakatoa, and many more production-focused graphics technologies later acquired and supported by Thinkbox. His experience in native C++ and scientific Python development, and his unique approach to software architecture enable Wiebe and his team to tackle even the most ambitious software challenges.
 
David Willmer
 
Donald Winston
Lawrence Berkeley National Laboratory
 
Evan Wyse
 

SciPy 2016 Posters Presenters

Dion Amago Whitehead
Dion is a Scientist+Developer in the Autodesk Bio/Nano Research group. He earned is Phd in Bioinformatics from Bielefeld University (Germany) in 2005, followed by a 4 year postdoc in Münster (Germany), investigating gene regulatory networks. After that, he switched to building multi-player mobile games to learn about cutting edge software development, before coming back to building scientific software, where he sees huge potential to improve and accelerate how science.
 
Thomas Arildsen
Faculty of Engineering and Science, Department of Electronic Systems, Aalborg University
 
Nicholas Baeza Hochmuth
Harvard-Smithsonian Center for Astrophysics
Nicholas Baeza Hochmuth is a Research Fellow at the Harvard-Smithsonian Center for Astrophysics and a Peer Mentor for the Smithsonian Astrophysical Observatory Latino Initiative Project (SAOLIP). He completed his B.Sc in Mathematics with a Physics minor from the University of Massachusetts, Lowell in 2016 and is planning to pursue a PhD in Machine Learning within the next few years.
 
Kristen Berry
USGS
 
Jean Bilheux
 
Blake Borgeson
Recursion Pharmaceuticals
 
Emre Brookes
The University of Texas Health Science Center at San Antonio
 
Rodrigo Caballero
 
Steren Chabert
Universidad de Valparaiso
 
Wei Chen
 
Joseph Curtis
National Institute of Standards and Technology
 
Maarten De Jong
 
Eric Dill
Brookhaven National Laboratory
PhD Chemist (2013) turned scientific software developer. Currently working on X-Ray algorithms at a giant X-Ray beam (National Synchrotron Light Source II) at Brookhaven National Laboratory
 
Wael El-Deredy
Universidad de Valparaiso, Advanced Center of Electrical and Electronics Engineering
 
Amanda Ernlund
I am a graduate student at NYU medical center in my fourth year of study. Currently, my work focuses on using bioinformatic techniques to explore translational regulation in breast cancer.
 
Ricardo Ferraz Leal
I have an MsC in Computer Engineering and a PhD in Physics. I have worked in private companies and Research Institutes. I have built and designed software architectures, led technical implementations of large scale systems and developed scientific software. I joined the Oak Ridge National Institute a couple of years ago where I build algorithms to analyze Neutron Scattering Data and develop Responsive Web Design applications to view and interpret those data.
 
Justin Fisher
Southern Methodist University
Philosophy Professor at Southern Methodist University with interests in Cognitive Science, Artificial Intelligence, Formal Epistemology, and Evolutionary Game Theory.
 
Jennifer Flynn
 
Dominique Fournier
SimPEG, UBC-GIF
MSc. Geophysics, The University of British Columbia
 
Andrew Fraser
Los Alamos National Laboratory
Design Engineer, Fairchild PhD Physics, UT Austin Systems Science Faculty, Portland State University Scientist, Los Alamos National Lab
 
Myriam Fuentes
 
Jay Hennen
I am a software engineer working on the GNOME oil spill modeling tools and related software for NOAA
 
Steven C. Howell
National Institute of Standards and Technology
Steven Howell is Physicist at the NIST Center for Neutron Research in Gaithersburg, MD. He has a background in experimental and computational biophysics with a Ph.D. in physics from The George Washington University. His Ph.D. research studied the solution structure of nucleosome arrays. To facilitate creating atomistic models of nucleosome arrays, he developed a B-DNA Monte Carlo algorithm for generating ensembles of atomistic models. His current research is focused on developing experimentally accurate Monte Carlo simulations of highly concentrated protein solutions.
 
Patrick Huck
 
Paul Iniguez
NOAA/National Weather Service
As the Science & Operations Officer at the NOAA/National Weather Service Phoenix, AZ office, it is my job to train our staff of operational meteorologists to effectively use the latest science and technology to save lives and livelihoods. A secondary aspect is to conduct applied research on improving forecast verification, enhancing our predictability of the weather, and analyzing recent weather events in a climatological context. I use python extensively, ranging from quick answers such as "what year had the most 100 degree days in Phoenix?" to developing a robust methodology to identify and communicate the potential impacts of significant heat waves to our customers.
 
Anubhav Jain
 
Amit Jamadagni
BITS
Amit is a final year student pursuing Integrated Masters in Mathematics along with Bachelors in Electronics and Electrical Engineering at BITS, Pilani, India. He is a scientific FOSS enthusiast and has contributed to SageMath, SymPy, Julia, JuliaQuantum libraries. He was also a part 2014, 2015 editions of Google Summer of Code (GSoC), during 2014 GSoC he worked on developing the Knot Theory module in SageMath, and as part of GSoC 2015 he worked on QuDynamics, a Julia package aimed at solving dynamical equations in Quantum Mechanics and is currently one of the core developers of JuliaQuantum libraries. In the current presentation, he aims at presenting how phases of matter are classified at absolute zero using SageMath.
 
Seogi Kang
Geophysical Inversion Facility (GIF), University of British Columbia
 
Torben Larsen
Faculty of Engineering and Science, Department of Electronic Systems, Aalborg University
 
Michael Mitchell
Geophysical Inversion Facility (GIF), University of British Columbia
 
Joy Monteiro
 
Joseph Montoya
 
David Nicholson
Emory University
Neuroscience grad student, Pythonista, machine learning-ologist, salsero https://github.com/NickleDave www.nicholdav.info
 
Christian Oxvig
 
Jan Østergaard
 
Patrick Pedersen
 
Pawel Penczek
UT Health Science Center at Houston
 
Kristin Persson
 
Gudni Karl Rosenkjaer
 
Nicolas Rougier
INRIA Bordeaux Sud-Ouest, Talence, France, Neurodegenerative Diseases Institute, University of Borde
 
Christian Schou Oxvig
Aalborg University
Christian Schou Oxvig received the B.Sc. and M.Sc. degrees in electrical and computer engineering from Aalborg University in 2011 and 2013, respectively. He is currently a Ph.D. student in the signal and information processing section, Department of Electronic Systems, Aalborg University. His research interests include scientific computing, statistical signal processing, and reproducibility in computer and simulation experiments.
 
Scott Sievert
University of Wisconsin--Madison
A grad student at the University of Wisconsin studying optimization and signal recovery.
 
Brendan Smithyman
3point Science, University of Western Ontario
Brendan Smithyman is a developer and researcher with a background in seismic imaging and inversion. Brendan holds a B.Sc in Geological Engineering from Queen’s University, Kingston, Canada, and a Ph.D in Geophysics from The University of British Columbia, Vancouver, Canada. Following his time as a student at UBC, he went on to a Postdoctoral Fellowship at the Seismic Laboratory for Imaging and Modeling (SLIM), UBC, followed by a NSERC Postdoctoral Fellowship at the University of Western Ontario, London, Canada. On the geophysical front, Brendan has published several papers dealing with nonlinear seismic Full-Waveform Inversion (FWI), and is the lead developer of the open source project Zephyr (https://zephyr.space/), which integrates with SimPEG (http://simpeg.xyz) and implements parallel seismic waveform modelling and inversion. Brendan is an instructor for Software Carpentry, an organization aimed at teaching programming techniques to data scientists. Brendan has also developed several geophysical utility libraries, including a Python-based library for accessing SEG-Y format datasets.
 
TJ Torres
Stitch Fix
 
Mason Victors
Recursion Pharmaceuticals
 
Aaron Virshup
Autodesk Research
 
Horatio Voicu
 
Alejandro Weinstein
Universidad de Valparaíso, Chile, Advanced Center of Electrical and Electronic Engineering, Chile
 
Daniel Wheeler
 
Donald Winston
 
Pamela Wu
PhD Student in Bioinformatics at the NYU Langone Medical Center
 
Wenduo Zhou
Oak Ridge National Laboratory