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

SciPy 2016 Talk and Poster Schedule

The SciPy 2016 General Conference features talks and posters in 2 Specialized Topic Tracks: Python in Data Science and High Performance Computing; and 8 Mini-Symposia Tracks: Earth and Space Science; Engineering; Medicine and Biology; Social Sciences; Case Studies in Industry; Education; and Reproducibility.

In addition, Birds of a Feather (BoF) sessions (informal self-organized discussions) and Lightning Talks (5 minutes with a general audience on a topic of your choosing) are a great way to share your work and ideas. The only difficult part will be choosing between all of the great options. To round out your conference plans, see these details on SciPy social events and restaurants and local attractions.

See you at SciPy 2016!

Tuesday, 7/12/16
6:00-9:00 PMEnthought Welcome to SciPy Reception
Enthought Offices, 515 Congress Avenue, 21st Floor

Wednesday, 7/13/16
7:30-9:00Breakfast
Served in the Tejas Room and outside the Grand Ballroom
9:00-9:15Welcome
Grand Ballroom
9:15-10:00Keynote: Brian Granger
Grand Ballroom
10:00-10:30Mid-morning Break
Snacks served in the Tejas Room and outside the Grand Ballroom
10:30-11:00HPCEngineeringEarth and Space Science
Conduit: A Scientific Data Exchange Library for HPC Simulations
Grand Ballroom
Cyrus Harrison, Lawrence Livermore National Laboratory
Brian Ryujin, Lawrence Livermore National Laboratory
Adam Kunen, Lawrence Livermore National Laboratory
PyTeCK: A Python-based Automatic Testing Package for Chemical Kinetic Models
Room 204
Kyle Niemeyer, Assistant Professor, Oregon State University
Modeling Rate-and-State Friction with Python
Room 203
John Leeman
11:00-11:30HPCEngineeringEarth and Space Science
Psi4: A Case Study on Modernizing and Modularizing Quantum Chemistry with Python and C++
Grand Ballroom
Daniel Smith, Georgia Institute of Technology, Software Carpentry, Psi4 Organization
A Simulation Framework for Studying the Code Acquisition and Tracking Functions of a Global Positioning System (GPS) Receiver
Room 204
Mark Wickert
Bootstrapping an Open Source Library: How MetPy Got Up and Running with Lazy Developers
Room 203
Ryan May, UCAR/Unidata
11:30-12:00HPCEngineeringEarth and Space Science
JupyterHub as an Interactive Supercomputing Gateway
Grand Ballroom
Michael Milligan, Minnesota Supercomputing Institute, University of Minnesota
UConnRCMPy: Python-based data analysis for Rapid Compression Machines
Room 204
Bryan Weber, University of Connecticut
Chih-Jen Sung, University of Connecticut
Getting More from Your Core: Processing and Analysis of Core CT Data
Room 203
Brendon Hall, Enthought
12:00-2:00Lunch Break
See "Venue and Local Info" tab for suggestions
1:00-2:00Welcome to SciPy BOF
Grand Ballroom
conda-forge and Community Packaging BOF
Room 204
Distributed Computing BOF
Room 203
2:00-2:30GeneralData ScienceReproducibility
datreant: Persistent, Pythonic Trees for Heterogeneous Data
Grand Ballroom
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
Large Scale Geospatial Analytics with Python, Spark, and Impala
Room 204
Evan Wyse
Experiments as Iterators: asyncio in Science
Room 203
Daniel Allan, Brookhaven National Lab
Thomas Caswell, Brookhaven National Lab
Kenneth Lauer, Brookhaven National Lab
2:30-3:00GeneralData ScienceReproducibility
Analysis and Visualization of 3D Data with yt
Grand Ballroom
Matthew Turk, University of Illinois
Python at the Intersection of Data Science, Machine Learning and Cyber Anomaly Detection
Room 204
Randy Paffenroth
Reproducible, One-Button Workflows with the Jupyter Notebook and Scons
Room 203
Jessica Hamrick, University of California, Berkeley
3:00-3:30Mid-afternoon break
Snacks served in the Tejas Room and outside the Grand Ballroom
3:30-4:00GeneralData ScienceMedicine and Biology
Proselint: The Linting of Science Prose, and the Science of Prose Linting
Grand Ballroom
Michael Pacer, University of California, Berkeley
Jordan Suchow, University of California, Berkeley
Python and R Together at Last: Writing Cross-Language Tools
Room 204
Bill Lattner
HistomicsTK: Seamless Analytics for Biomedical Microscopy
Room 203
Brian Helba
4:00-4:30GeneralData ScienceMedicine and Biology
Reinventing the .whl: New Developments in the Upstream Python Packaging Ecosystem
Grand Ballroom
Nathaniel Smith, UC Berkeley
How to “Scrape” Together a Great Dataset Using Things You Find on the Internet: Using Python & SciPy to Predict Oscar Winners & Box Office Hits
Room 204
Deborah Hanus, Harvard University
MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations
Room 203
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
4:30-5:30Lightning Talks
Grand Ballroom
6:00-7:00Poster Session
Grand Ballroom
7:00-9:00Annual Reception and Job Fair
Grand Ballroom

Thursday, 7/14/16
7:30-9:00 Breakfast
Served in the Tejas Room and outside the Grand Ballroom
7:45-9:00Sponsor and Scholarship Recipient Breakfast (By Invitation)
Room 301
9:00-9:15Welcome
Grand Ballroom
9:15-10:00Keynote: # High Performance with Python: Architectures, Approaches, and Applications
Grand Ballroom
Keynote Speaker: Andreas Klöckner, University of Illinois at Urbana-Champaign
10:00-10:30Mid-morning Break
Snacks served in the Tejas Room and outside the Grand Ballroom
10:30-11:00GeneralGeneralEarth and Space Science
Dask: Parallel and Distributed Computing
Grand Ballroom
Matthew Rocklin, Continuum Analytics
Jim Crist, Software Developer, Continuum Analytics
HyperSpy - How to Easily Bend Multi-dimension Data to your (Analytical) Will.
Room 204
Tomas Ostasevicius, University of Cambridge
HOPE: A Python Just-In-Time Compiler for Astrophysical Computations
Room 203
Joel Akeret, ETH Zurich
11:00-11:30Data ScienceGeneralEarth and Space Science
Communicating Model Results
Grand Ballroom
Bargava Subramanian
GR: Plotting with Python or Julia
Room 204
Josef Heinen, Forschungszentrum Jülich GmbH
MONTE Python for Deep Space Navigation
Room 203
Jonathon Smith
11:30-12:00Data ScienceGeneralEarth and Space Science
High Quality, High Performance Clustering with HDBSCAN*
Grand Ballroom
Leland McInnes, Tutte Institute for Mathematics and Computing
John Healy
SymPy Code Generation
Room 204
Aaron Meurer, University of South Carolina, SymPy
Anthony Scopatz, University of South Carolina
Using Open Source Tools to Refactor Geoscience Education
Room 203
Lindsey Heagy
12:00-2:00Lunch Buffet
Outside the Grand Ballroom
12:15-1:15Diversity Luncheon (Registration Required)
Served in the Tejas Room on Level 2
1:00-2:00State of the State for Geo-spatial Packages in Python BOF
Room 204
NumFOCUS BOF
Room 203
1:00-2:00Matplotlib BOF
Room 106
2:00-2:30Case Studies in IndustryHPCReproducibility
Integrating Scripting into Commercial Applications
Grand Ballroom
Eric Jones, CEO, Enthought
PySPH: A Reproducible and High-performance Framework for Smoothed Particle Hydrodynamics
Room 204
Prabhu Ramachandran, Enthought and IIT Bombay
Sharing Reproducible Environments with Binder
Room 203
Andrew Osheroff, HHMI Janelia
2:30-3:00Case Studies in IndustryHPCReproducibility
Computational Supply Chain Risk Management for Open Source Software
Grand Ballroom
Sebastian Benthall, Ion Channel, UC Berkeley School of Information
Out with the Old and in with the New: Embedding Python in Old Fortran HPC Code
Room 204
Brendan Smithyman, 3point Science, University of Western Ontario
MPCite: Continuous and High-throughput Allocation of Digital Object Identifiers for Calculated and Contributed Data in the Materials Project
Room 203
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
3:00-3:30Mid-afternoon break
Snacks served in the Tejas Room and outside the Grand Ballroom
3:30-4:00GeneralData ScienceGeneral
Community Powered Packaging with conda-forge
Grand Ballroom
Philip Elson, Met Office
Running Python Apps in the Browser
Room 204
Almar Klein, Continuum Analytics, Freelancer
Composable Multi-Threading for Python Libraries
Room 203
Anton Malakhov, Intel Corporation
4:00-4:30GeneralGeneralGeneral
Machine Learning for Time Series Data in Python
Grand Ballroom
Brett Naul, UC Berkeley
Governing Open Source Projects at Scale: Lessons from Wikipedia's Growing Pains
Room 204
Stuart Geiger, University of California, Berkeley, Berkeley Institute for Data Science
GT-Py: Accelerating NumPy programs on CPU&GPU with Minimal Programming Effort
Room 203
Chi-keung Luk, Intel
4:30:5:00GeneralGeneralData Science
"Labs in the Wild": Teaching Signal Processing Using Wearables and Jupyter Notebooks in the Cloud
Grand Ballroom
Demba Ba, Harvard University
Processing a Petabyte of Planetary Pixels with Python
Room 204
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
HoloViews: Let your Data Reveal Itself
Room 203
Philipp Rudiger, Software Engineer, Continuum Analytics
Jean-Luc Stevens, Software Engineer, Continuum Analytics
James A. Bednar, Solutions Architect, Continuum Analytics and University of Edinburgh
5:00-5:30Data ScienceGeneralData Science
JupyterLab: Building Blocks for Interactive Computing
Grand Ballroom
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
A String Theorist's Journey with Python
Room 204
Chan Park, Rutgers University
Give Your Data an Entrance Exam: Tools from Psychometrics for Data Quality Evaluation
Room 203
Katie Malone, Civis Analytics
5:30-6:30Lightning Talks
Grand Ballroom
6:30-9:00Happy hour at Scholz Garten hosted by Quantlab Financial
Scholz's Beer Garten, 1607 San Jacinto Blvd (walking distance from AT&T Center)
7:30-11:30Game Night (Registration Requested)
Dragon's Lair, 2438 West Anderson Lane

Friday, 7/15/16
7:30-9:00Breakfast
Served in the Tejas Room and outside the Grand Ballroom
9:00-9:15Welcome
Grand Ballroom
9:15-10:00Keynote: Machine Learning for Social Science
Grand Ballroom
Keynote Speaker: Hanna Wallach, Microsoft Research NYC / Adjunct Associate Professor, UMass Amherst
10:00-10:30Mid-morning Break
Snacks served in the Tejas Room and outside the Grand Ballroom
10:30-11:00Data ScienceGeneralEarth and Space Science
Tell Me Something I Don't Know: Analyzing OkCupid Profiles
Grand Ballroom
Matar Haller, University of California, Berkeley
Jaya Narasimhan, University of California, Berkeley
Juan Shishido, University of California, Berkeley
What's new in Spyder 3.0
Room 204
Gonzalo Peña-Castellanos, Continuum Analytics
Carlos Cordoba, Software Developer, Continuum Analytics
Generalized Earthquake Focal Mechanism Classification
Room 203
Ben Lasscock, Geotrace Technologies
11:00-11:30Data ScienceGeneralEarth and Space Science
Scaling Up and Out: Programming GPU Clusters with Numba and Dask
Grand Ballroom
Stanley Seibert, Continuum Analytics
Siu Kwan Lam, Software Developer, Continuum Analytics
3D drawing in Python: Reviving Visual
Room 204
Catherine Holloway
Democratizing Geostats
Room 203
Nicholas Ronnei, Michigan State University
11:30-12:00GeneralGeneralEarth and Space Science
QCDB: Database Tools for Managing and Harmonizing Quantum Chemistry
Grand Ballroom
Lori Burns, Georgia Tech
Hacking the CPython Interpreter
Room 204
James Powell
Working towards all the Geophysics, but Backwards
Room 203
Rowan Cockett, The University of British Columbia
12:00-2:00Lunch Break
See "Venue and Local Info" tab for suggestions
1:00-2:00Diversity and Inclusion BOF
Room 204
Met, Ocean and Hydrology Modeling BOF
Room 203
2:00-2:30Data ScienceHPCMedicine and Biology
Constructing Models to Deal with Missing Data
Grand Ballroom
Deborah Hanus, Harvard University
A "BLAS" for Tensors with Portable High Performance
Room 204
Devin Matthews, The University of Texas at Austin
QIIME 2: Self-documenting, Extensible, and Reproducible Microbiome Analysis in Python 3.
Room 203
Greg Caporaso
2:30-3:00Data ScienceHPCMedicine and Biology
Datashader: Revealing the Structure of Genuinely Big Data
Grand Ballroom
James A. Bednar, Solutions Architect, Continuum Analytics and University of Edinburgh
Jim Crist, Software Developer, Continuum Analytics
Joseph Cottam
Peter Wang
Launching Python Applications on Peta-scale Massively Parallel Systems
Room 204
Yu Feng, Berkeley Center for Cosmological Physics, Berkeley Institute for Data Science
Emperor, Interactive Beta-diversity Exploration
Room 203
Yoshiki Vazquez-Baeza, Department of Computer Science and Engineering, University of California, San Diego
3:00-3:30Mid-afternoon break
Snacks served in the Tejas Room and outside the Grand Ballroom
3:30-4:00EducationGeneralGeneral
The FOSSEE Python Project
Grand Ballroom
Prabhu Ramachandran, Enthought and IIT Bombay
SymEngine: A Fast Symbolic Manipulation Library
Room 204
Ondřej Čertík, Los Alamos National Laboratory
Isuru Fernando
Thilina Rathnayake
Abhinav Agarwal, Indian Institute of Technology Kharagpur
DyND Callables
Room 203
Mark Wiebe, Thinkbox Software
4:00-4:30EducationData ScienceGeneral
A Whirlwind Tour of UC Berkeley’s Data Science Education Program
Grand Ballroom
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
Automating Machine Learning?
Room 204
Andreas Mueller
Diffing and Merging Jupyter Notebooks with nbdime
Room 203
Min Ragan-Kelley, IPython/Jupyter, Simula Research Lab
4:30-5:30Lightning Talks
Grand Ballroom
5:30-6:30Jupyter BOF
Room 204
SciPy 2017 BOF
Room 203
8:00-10:00Dinner at the Flying Saucer (Registration Required)
815 W. 47th Street