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

SciPy 2016 Talk & Poster List

The following Talks and Posters have been accepted for SciPy 2016.  Additional Talks and Posters will be announced soon.

The SciPy organizing committee is in awe of the work the SciPy community is doing and we greatly appreciate everyone who submitted a topic for this year's conference.  If your submission wasn't able to be slated into the limited number of main conference talk sessions or poster slots, we encourage you to take advantage of the lightning talk and Birds of a Feather (BoF) sessions to share your work.

Are you a talk or poster presenter?  See this page for information for presenters.

We hope to see you at SciPy in July!

Accepted Talks


(scroll down for accepted posters)
Case Studies in Industry
Computational Supply Chain Risk Management for Open Source Software [More Info]
Sebastian Benthall, Ion Channel, UC Berkeley School of Information
Integrating Scripting into Commercial Applications [More Info]
Eric Jones, CEO, Enthought
Python Powered Moonshots in Data Science [More Info]
Eli Bressert, Stitch Fix
 
Data Science
To Be Announced
Visualising Big Data [More Info]
Amit Kapoor
Automating Machine Learning? [More Info]
Andreas Mueller
Communicating Model Results [More Info]
Bargava Subramanian
Constructing Models to Deal with Missing Data [More Info]
Deborah Hanus, Harvard University
Datashader: Revealing the Structure of Genuinely Big Data [More Info]
James A. Bednar, Solutions Architect, Continuum Analytics and University of Edinburgh
Jim Crist, Software Developer, Continuum Analytics
Joseph Cottam
Peter Wang
Give Your Data an Entrance Exam: Tools from Psychometrics for Data Quality Evaluation [More Info]
Katie Malone, Civis Analytics
High Quality, High Performance Clustering with HDBSCAN* [More Info]
Leland McInnes, Tutte Institute for Mathematics and Computing
John Healy
HoloViews: Let your Data Reveal Itself [More Info]
Philipp Rudiger, Software Engineer, Continuum Analytics
Jean-Luc Stevens, Software Engineer, Continuum Analytics
James A. Bednar, Solutions Architect, Continuum Analytics and University of Edinburgh
How to “Scrape” Together a Great Dataset Using Things You Find on the Internet: Using Python & SciPy to Predict Oscar Winners & Box Office Hits [More Info]
Deborah Hanus, Harvard University
JupyterLab: Building Blocks for Interactive Computing [More Info]
Brian Granger, Cal Poly State University, Project Jupyter
Steven Silvester, Continuum Analytics
Jason Grout, Bloomberg LP
Fernando Perez, Lawrence Berkeley National Laboratory/Berkeley Institute for Data Science
Sylvain Corlay
Chris Colbert, Software Architect, Continuum Analytics
Cameron Oelsen
David Willmer
Afshin Darian
Large Scale Geospatial Analytics with Python, Spark, and Impala [More Info]
Evan Wyse
Python and R Together at Last: Writing Cross-Language Tools [More Info]
Bill Lattner
Python at the Intersection of Data Science, Machine Learning and Cyber Anomaly Detection [More Info]
Randy Paffenroth
Running Python Apps in the Browser [More Info]
Almar Klein, Continuum Analytics, Freelancer
Scaling Up and Out: Programming GPU Clusters with Numba and Dask [More Info]
Stanley Seibert, Continuum Analytics
Siu Kwan Lam, Software Developer, Continuum Analytics
Tell Me Something I Don't Know: Analyzing OkCupid Profiles [More Info]
Matar Haller, University of California, Berkeley
Jaya Narasimhan, University of California, Berkeley
Juan Shishido, University of California, Berkeley
 
Earth and Space Science
Bootstrapping an Open Source Library: How MetPy Got Up and Running with Lazy Developers [More Info]
Ryan May, UCAR/Unidata
Democratizing Geostats [More Info]
Nicholas Ronnei, Michigan State University
Generalized Earthquake Focal Mechanism Classification [More Info]
Ben Lasscock, Geotrace Technologies
Getting More from Your Core: Processing and Analysis of Core CT Data [More Info]
Brendon Hall, Enthought
HOPE: A Python Just-In-Time Compiler for Astrophysical Computations [More Info]
Joel Akeret, ETH Zurich
Modeling Rate-and-State Friction with Python [More Info]
John Leeman
MONTE Python for Deep Space Navigation [More Info]
Jonathon Smith
Using Open Source Tools to Refactor Geoscience Education [More Info]
Lindsey Heagy
Working towards all the Geophysics, but Backwards [More Info]
Rowan Cockett, The University of British Columbia
 
Education
A Whirlwind Tour of UC Berkeley’s Data Science Education Program [More Info]
Cathryn Carson, University of California, Berkeley
Sam Lau, University of California, Berkeley
Chris Holdgraf, University of California, Berkeley
Elaine Angelino
David Culler
John DeNero
Ryan Lovett
The FOSSEE Python Project [More Info]
Prabhu Ramachandran, Enthought and IIT Bombay
 
Engineering
A Simulation Framework for Studying the Code Acquisition and Tracking Functions of a Global Positioning System (GPS) Receiver [More Info]
Mark Wickert
PyTeCK: A Python-based Automatic Testing Package for Chemical Kinetic Models [More Info]
Kyle Niemeyer, Assistant Professor, Oregon State University
UConnRCMPy: Python-based data analysis for Rapid Compression Machines [More Info]
Bryan Weber, University of Connecticut
Chih-Jen Sung, University of Connecticut
 
General
Everyone Can Be a Rocket Scientist [More Info]
Oliver Nagy
QCDB: Database Tools for Managing and Harmonizing Quantum Chemistry [More Info]
Lori Burns, Georgia Tech
"Labs in the Wild": Teaching Signal Processing Using Wearables and Jupyter Notebooks in the Cloud [More Info]
Demba Ba, Harvard University
3D drawing in Python: Reviving Visual [More Info]
Catherine Holloway
A String Theorist's Journey with Python [More Info]
Chan Park, Rutgers University
Analysis and Visualization of 3D Data with yt [More Info]
Matthew Turk, University of Illinois
Community Powered Packaging with conda-forge [More Info]
Philip Elson, Met Office
Composable Multi-Threading for Python Libraries [More Info]
Anton Malakhov, Intel Corporation
Dask: Parallel and Distributed Computing [More Info]
Matthew Rocklin, Continuum Analytics
Jim Crist, Software Developer, Continuum Analytics
datreant: Persistent, Pythonic Trees for Heterogeneous Data [More Info]
Sean Seyler, Arizona State University
David Dotson, Arizona State University
Max Linke, Max Planck Institute of Biophysics
Richard Gowers, University of Manchester
Oliver Beckstein, Arizona State University
Deep Learning for QSAR [More Info]
Richard Lewis
Diffing and Merging Jupyter Notebooks with nbdime [More Info]
Min Ragan-Kelley, IPython/Jupyter, Simula Research Lab
DyND Callables [More Info]
Mark Wiebe, Thinkbox Software
Governing Open Source Projects at Scale: Lessons from Wikipedia's Growing Pains [More Info]
Stuart Geiger, University of California, Berkeley, Berkeley Institute for Data Science
GR: Plotting with Python or Julia [More Info]
Josef Heinen, Forschungszentrum Jülich GmbH
GT-Py: Accelerating NumPy programs on CPU&GPU with Minimal Programming Effort [More Info]
Chi-keung Luk, Intel
Hacking the CPython Interpreter [More Info]
James Powell
HyperSpy - How to Easily Bend Multi-dimension Data to your (Analytical) Will. [More Info]
Tomas Ostasevicius, University of Cambridge
Machine Learning for Time Series Data in Python [More Info]
Brett Naul, UC Berkeley
Processing a Petabyte of Planetary Pixels with Python [More Info]
Samuel Skillman, Descartes Labs
Michael Warren, Descartes Labs
Steven Brumby, Descartes Labs
Rick Chartrand, Descartes Labs
Eric Chisolm, Descartes Labs
Eduardo Franco, Descartes Labs
Ryan Keisler, Descartes Labs
Tim Kelton, Descartes Labs
Caitlin Kontgis, Descartes Labs
Mark Mathis, Descartes Labs
Daniela Moody, Descartes Labs
Xander Rudelis, Descartes Labs
Proselint: The Linting of Science Prose, and the Science of Prose Linting [More Info]
Michael Pacer, University of California, Berkeley
Jordan Suchow, University of California, Berkeley
Reinventing the .whl: New Developments in the Upstream Python Packaging Ecosystem [More Info]
Nathaniel Smith, UC Berkeley
SymEngine: A Fast Symbolic Manipulation Library [More Info]
Ondřej Čertík, Los Alamos National Laboratory
Isuru Fernando
Thilina Rathnayake
Abhinav Agarwal, Indian Institute of Technology Kharagpur
SymPy Code Generation [More Info]
Aaron Meurer, University of South Carolina, SymPy
Anthony Scopatz, University of South Carolina
What's new in Spyder 3.0 [More Info]
Gonzalo Peña-Castellanos, Continuum Analytics
Carlos Cordoba, Software Developer, Continuum Analytics
 
HPC
A "BLAS" for Tensors with Portable High Performance [More Info]
Devin Matthews, The University of Texas at Austin
Conduit: A Scientific Data Exchange Library for HPC Simulations [More Info]
Cyrus Harrison, Lawrence Livermore National Laboratory
Brian Ryujin, Lawrence Livermore National Laboratory
Adam Kunen, Lawrence Livermore National Laboratory
JupyterHub as an Interactive Supercomputing Gateway [More Info]
Michael Milligan, Minnesota Supercomputing Institute, University of Minnesota
Launching Python Applications on Peta-scale Massively Parallel Systems [More Info]
Yu Feng, Berkeley Center for Cosmological Physics, Berkeley Institute for Data Science
Out with the Old and in with the New: Embedding Python in Old Fortran HPC Code [More Info]
Brendan Smithyman, 3point Science, University of Western Ontario
Psi4: A Case Study on Modernizing and Modularizing Quantum Chemistry with Python and C++ [More Info]
Daniel Smith, Georgia Institute of Technology, Software Carpentry, Psi4 Organization
PySPH: A Reproducible and High-performance Framework for Smoothed Particle Hydrodynamics [More Info]
Prabhu Ramachandran, Enthought and IIT Bombay
 
Medicine and Biology
Emperor, Interactive Beta-diversity Exploration [More Info]
Yoshiki Vazquez-Baeza, Department of Computer Science and Engineering, University of California, San Diego
HistomicsTK: Seamless Analytics for Biomedical Microscopy [More Info]
Brian Helba
MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations [More Info]
Oliver Beckstein, Arizona State University, Department of Physics
Richard Gowers, University of Manchester, UK
Max Linke, Max Planck Institut für Biophysik, Frankfurt, Germany
Jonathan Barnoud, University of Groningen, The Netherlands
Tyler Reddy, University of Oxford, UK
Manuel Melo, University of Groningen, The Netherlands
Sean Seyler, Arizona State University
Jan Dománski, University of Oxford, UK, NIH NIDDK
David Dotson, Arizona State University
Sébastien Buchoux, Université de Picardie Jules Verne, France
Ian Kenney, Arizona State University
QIIME 2: Self-documenting, Extensible, and Reproducible Microbiome Analysis in Python 3. [More Info]
Greg Caporaso
 
Reproducibility
Experiments as Iterators: asyncio in Science [More Info]
Daniel Allan, Brookhaven National Lab
Thomas Caswell, Brookhaven National Lab
Kenneth Lauer, Brookhaven National Lab
MPCite: Continuous and High-throughput Allocation of Digital Object Identifiers for Calculated and Contributed Data in the Materials Project [More Info]
Patrick Huck, Lawrence Berkeley National Laboratory
Anubhav Jain, Lawrence Berkeley National Laboratory
Daniel Gunter, Lawrence Berkeley National Laboratory
Donald Winston, Lawrence Berkeley National Laboratory
Shreyas Cholia, Lawrence Berkeley National Laboratory
Kristin Persson, Lawrence Berkeley National Laboratory
Reproducible, One-Button Workflows with the Jupyter Notebook and Scons [More Info]
Jessica Hamrick, University of California, Berkeley
Sharing Reproducible Environments with Binder [More Info]
Andrew Osheroff, HHMI Janelia


Accepted Posters

Please note that this is the initial list of accepted posters. More may be added as we finalize the schedule.


Poster Session
AESOP: Analysis of Electrostatic Structures Of Proteins [More Info]
Rohith Mohan, Department of Bioengineering, University of California, Riverside
Reed Harrison, Department of Bioengineering, University of California, Riverside
Dimitrios Morikis, Department of Bioengineering, University of California, Riverside
BETOC-PyCUDA : BayEsian Tools for Observational Cosmology with PyCUDA [More Info]
Roberto Colistete Junior
Dengue Fever Surveillance in Asia Using Text Mining Cluster Analysis [More Info]
Andrea Villanes
Pixel Level Segmentation of Coral Reef Photomosaics [More Info]
Nick Cortale
1B Human Disease Cells + Fancy Camera + Python Stack = N New Disease Treatments [More Info]
Blake Borgeson, Recursion Pharmaceuticals
Applications of Python at a NOAA/National Weather Service Weather Forecast Office [More Info]
Paul Iniguez, NOAA/National Weather Service
Autocnet: A Library for Creating Sparse, Multi-Image Control Networks [More Info]
Kristen Berry, USGS
Automated Data Reduction and Visualization for Neutron Single Crystal Diffractometer [More Info]
Wenduo Zhou, Oak Ridge National Laboratory
Cell_tree2d: A High Performance Bounding Volume Hierarchy for Unstructured Meshes [More Info]
Jay Hennen
Cloud Compute Cannon: Scalable, Scientific Computing for Anyone, Anywhere. [More Info]
Dion Amago Whitehead
Comparison of Machine Learning Methods Applied to Birdsong Element Classification [More Info]
David Nicholson, Emory University
Condensed Matter Physics Meets Python via SageMath [More Info]
Amit Jamadagni, BITS
Data Analysis Checkpointing [More Info]
Horatio Voicu
Pawel Penczek, UT Health Science Center at Houston
Deciphering Epigenetic Signatures Underlying Transcript Type and Cell-type Specificity [More Info]
Pamela Wu
Designing a Cloud Platform for Simulation Management [More Info]
Daniel Wheeler
Fitting Human Decision Making Models using Python [More Info]
Alejandro Weinstein, Universidad de Valparaíso, Chile, Advanced Center of Electrical and Electronic Engineering, Chile
Wael El-Deredy, Universidad de Valparaiso, Advanced Center of Electrical and Electronics Engineering
Steren Chabert, Universidad de Valparaiso
Myriam Fuentes
Functional Uncertainty Constrained by Law and Experiment [More Info]
Andrew Fraser, Los Alamos National Laboratory
glumpy [More Info]
Nicolas Rougier, INRIA Bordeaux Sud-Ouest, Talence, France, Neurodegenerative Diseases Institute, University of Borde
Improving Food Accessibility via Spatial Clustering [More Info]
Jennifer Flynn
It's All about the Features: Siamese Networks for a Lower Dimensional, Similarity Preserving Metric Space [More Info]
Mason Victors, Recursion Pharmaceuticals
Molecular Modeling, 3D Visualization, and Distributed Computing in Jupyter Notebooks [More Info]
Aaron Virshup, Autodesk Research
Neutron Imaging Analysis Using jupyter Notebook [More Info]
Jean Bilheux
ObjArray: Better Integrating Python Objects with Numpy Arrays [More Info]
Justin Fisher, Southern Methodist University
Redefining the Breast Tumor Margin Utilizing a Computational Genomic Ruler of Tumor and Tumor-adjacent Normal Tissue [More Info]
Amanda Ernlund
scikit-beam: Reusable and Composable Algorithms for the X-Ray, Neutron and Electron Sciences [More Info]
Eric Dill, Brookhaven National Laboratory
Single Pixel Adaptive Thermal Imaging on the Raspberry Pi [More Info]
Scott Sievert, University of Wisconsin--Madison
Storing Reproducible Results from Computational Experiments using Scientific Python Packages [More Info]
Christian Schou Oxvig, Aalborg University
Thomas Arildsen, Faculty of Engineering and Science, Department of Electronic Systems, Aalborg University
Torben Larsen, Faculty of Engineering and Science, Department of Electronic Systems, Aalborg University
The Formation of Massive Compact Quiescent Galaxies at z < 1 [More Info]
Nicholas Baeza Hochmuth, Harvard-Smithsonian Center for Astrophysics
The Universality of CNN Distributed Representations [More Info]
TJ Torres, Stitch Fix
Tools for High-throughput Computations of the Elastic Properties of Solids [More Info]
Maarten De Jong
Wei Chen
Patrick Huck
Donald Winston
Anubhav Jain
Kristin Persson
Joseph Montoya
Towards CliMT 1.0 [More Info]
Joy Monteiro
Rodrigo Caballero
Using Python to Create an Integrated Modular Framework for Atomistic Modeling of Molecular Structures [More Info]
Steven C. Howell, National Institute of Standards and Technology
Joseph Curtis, National Institute of Standards and Technology
Emre Brookes, The University of Texas Health Science Center at San Antonio
Validating Function Arguments in Python Signal Processing Applications [More Info]
Patrick Pedersen
Christian Oxvig
Jan Østergaard
Torben Larsen
Web Data Analysis at the Spallation Neutron Source [More Info]
Ricardo Ferraz Leal
Where Are the Diamonds? - Using a Giant Battery [More Info]
Michael Mitchell, Geophysical Inversion Facility (GIF), University of British Columbia
Seogi Kang, Geophysical Inversion Facility (GIF), University of British Columbia
Where Are the Diamonds? - Using Earth’s Potentials [More Info]
Dominique Fournier, SimPEG, UBC-GIF
Where Are the Diamonds? - Using Explosions [More Info]
Brendan Smithyman, 3point Science, University of Western Ontario
Where Are the Diamonds? - Using the Northern Lights [More Info]
Gudni Karl Rosenkjaer
Poster Session