Scientific Computing with Python
Austin, Texas • July 6-12, 2015
 

SciPy 2015 Talk and Poster Schedule

The SciPy 2015 General Conference features talks and posters in 3 major topic tracks: Scientific Computing in Python (General track), Python in Data Science, and Python in Finance/Social Sciences; and 7 mini-symposia tracks: Astronomy and astrophysics, Computational life and medical sciences, Engineering, Geographic information systems (GIS), Geophysics, Oceanography and meteorology, Visualization, vision and imaging. 

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 2015!

Tuesday, 7/7/15
6:00-9:00 PMEnthought Welcome Reception
Enthought Offices, 515 Congress Avenue, 21st Floor

Wednesday, 7/8/15
7:30-9:00 Breakfast
Served in the Tejas Room and outside the Grand Ballroom
9:00-9:15Welcome
Grand Ballroom
9:15-10:00Keynote: Data Science at the New York Times
Grand Ballroom
Keynote Speaker: Chris Wiggins, Chief Data Scientist; Associate Professor of Applied Mathematics, The New York Times & Columbia University
10:00-10:30Mid-morning Break
Snacks served in the Tejas Room and outside the Grand Ballroom
10:30-10:50Finance / Social SciencesGeneralEngineering

Will Millennials Ever Get Married? Survival Analysis and Marriage Data

Grand Ballroom
Allen Downey, Olin College

Dask - Out-of-core NumPy/Pandas through Task Scheduling

Room 204
James Crist, Graduate Student, University of Minnesota

PyRK: A Python Package for Nuclear Reactor Kinetics

Room 203
Kathryn Huff, Fellow, University of California, Berkeley
10:50-11:10Finance / Social SciencesGeneralEngineering

Congress & New Media: A Data Driven Study of Congressional Public Relations

Grand Ballroom
Brian Smith, Ball State University - Deptartment of Political Science

DistArray: Distributed Array Computing for Python

Room 204
Robert Grant, Scientific Software Developer, Enthought
Kurt Smith, Scientific Software Developer, Enthought

pycalphad: Computational Thermodynamics in Python

Room 203
Richard Otis, Pennsylvania State University
11:10-11:30Finance / Social SciencesGeneralEngineering

Scientific Python using Mobile OS

Grand Ballroom
Roberto Colistete Junior, UFES - Federal University of Espirito Santo (Brazil)

Teaching with IPython/Jupyter Notebooks and JupyterHub

Room 204
Jessica Hamrick, University of California, Berkeley
Min Ragan-Kelley, IPython
Kyle Kelley, Rackspace

Signal Processing and Communications: Teaching and Research Using IPython Notebook

Room 203
Mark Wickert, University of Colorado
11:30-12:00Finance / Social SciencesGeneralEngineering

Exploring Open Source Community Dynamics with BigBang

Grand Ballroom
Sebastian Benthall, Berkeley School of Information

A Cloud Service to Record Simulation Metadata

Room 204
Yannick Congo, NIST/Blaise Pascal University
Jonathan Guyer, NIST

An Open-Source Data Archive for Expert-Annotated Dermoscopic Images

Room 203
Brian Helba, Kitware Inc
12:00-2:00Lunch Break
See "Venue and Local Info" tab for suggestions
1:00-2:00Welcome to SciPy BOF
Grand Ballroom
Moderator: Kelsey Jordahl, Scientific Software Developer, Enthought
Gathering Usage Metrics for Open Scientific Software BOF
Room 204
Moderator: Nathaniel Smith, University of California, Berkeley
SymPy BOF
Room 203
Moderator: Aaron Meurer
2:00-2:20Geographic Info Systems (GIS)VisualizationEngineering

Spatial Income Inequality Dynamics in PySAL

Grand Ballroom
Wei Kang, GeoDa Center for Geospatial Analysis & Computation
Sergio Rey, GeoDa Center for Geospatial Analysis and Computation

Story Time with Bokeh

Room 204
Bryan Van de Ven, Continuum Analytics

Basic Sound Processing in Python

Room 203
Speaker: Allen Downey, Professor of Computer Science, Olin College
2:20-2:40Geographic Info Systems (GIS)VisualizationEngineering

Analysis and Visualization of Imaging Experiments with IPython, sklearn and bokeh

Grand Ballroom
Blake Borgeson, Recursion Pharmaceuticals

VisPy: Harnessing The GPU For Fast, High-Level Visualization

Room 204
Luke Campagnola, University of North Carolina, Chapel Hill

The Need for New Tools for Materials Discovery

Room 203
Christopher Wilmer, University of Pittsburgh
2:40-3:00Geographic Info Systems (GIS)VisualizationEngineering

Eigenvector Spatial Filtering using NumPy and ArcGIS

Grand Ballroom
Bryan Chastain, University of Texas, Dallas

HoloViews: Building Complex Visualizations Easily for Reproducible Science

Room 204
Jean-Luc R. Stevens, University of Edinburgh
Philipp Rudiger, University of Edinburgh
James A. Bednar, University of Edinburgh

Optimal Control and Parameter Identification of Dynamcal Systems with Direct Collocation using SymPy

Room 203
Jason Moore, Lead Developer, PyDy
3:00-3:30Mid-afternoon Break (with a book signing by Wes McKinney)
Snacks served in the Tejas Room and outside the Grand Ballroom
3:30-3:50Data ScienceVisualizationGeneral

Deep Learning: Tips from the Road

Grand Ballroom
Kyle Kastner, Graduate Student, Université de Montréal

Scientific Data Analysis and Visualization with VTK and ParaView

Room 204
Cory Quammen, Kitware

Jupyter / Ipython, State Of Multiuser And Real-Time Collaboration

Room 203
Matthias Bussonnier, UC Berkeley BIDS / IPython / Jupyter
Kester Tong, Google
3:50-4:10Data ScienceVisualizationGeneral

PyStruct - Structured Prediction in Python

Grand Ballroom
Andreas Mueller, New York University Center for Data Science

A Better Default Colormap for Matplotlib

Room 204
Stéfan van der Walt, University of California, Berkeley
Nathaniel Smith, University of California, Berkeley

Librosa: Audio and Music Signal Analysis in Python

Room 203
Brian McFee, New York University
4:10-4:30Data ScienceVisualizationGeneral

pgmpy: Probabilistic Graphical Models using Python

Grand Ballroom
Ankur Ankan
Abinash Panda

TrendVis: An Elegant Interface for Dense, Sparkline-Like, Quantitative Visualizations of Multiple Series Using Matplotlib

Room 204
Mellissa Cross

Dexy and Docker for Scientific Reproducibility

Room 203
Ana Nelson, Cosmify, Dexy
4:30-5:30Lightning Talks
Grand Ballroom
6:00-7:00Poster Presentations
Grand Ballroom
7:00-9:00Annual SciPy Reception and Job Fair
Grand Ballroom

Thursday, 7/9/15
7:30-9:00Breakfast
Served in the Tejas Room and outside the Grand Ballroom
9:00-9:15Welcome
Grand Ballroom
9:15-10:00Keynote: My Data Journey with Python
Grand Ballroom
Keynote Speaker: Wes McKinney, Software Engineer, author of pandas (Python Data Analysis Library), Cloudera
10:00-10:30Mid-morning Break
Snacks served in the Tejas Room and outside the Grand Ballroom
10:30-10:50Data ScienceGeneral

Blaze + Odo

Grand Ballroom
Phillip Cloud, Continuum Analytics

HDF5 is Eating the World

Room 204
Andrew Collette, University of Colorado, Boulder

Visualizing Physiological Signals in Real Time

Room 203
Sebastian Sepulveda, Universidad de Valaparaiso
10:50-11:10Data ScienceGeneral

xray: N-D Labeled Arrays and Datasets

Grand Ballroom
Stephan Hoyer, The Climate Corporation

Scientific Computing for Undergraduates: Getting Students into the Kitchen

Room 204
Amelia McBee Henriksen, Brigham Young University

Statistical Learning of Human Brain Structure in DIPY

Room 203
Ariel Rokem, The University of Washington eScience Institute
Franco Pestilli, Indiana University
Bagrat Amirbekian, University of California, San Francisco
Stefan van der Walt, University of California, Berkeley
Brian Wandell, Stanford University
Eleftherios Garyfallidis, University of Sherbrooke
11:10-11:30Data ScienceGeneral

Examining Malware with Python

Grand Ballroom
Phil Roth, Endgame

PyEDA: Data Structures and Algorithms for Electronic Design Automation

Room 204
Chris Drake, Engineer, Google
Big Data in Practice: The Example of Nilearn for Mining Brain Imaging Data
Room 203
Loïc Estève, Inria
11:30-12:00Data ScienceGeneral

Deploying Python Machine Learning Models in Production

Grand Ballroom
Krishna Sridhar, Dato

What the FORTRAN is ** Doing in Python?

Room 204
En Zyme, Proteasome Digest

Python Derived Imaging Biomarkers of Dementia

Room 203
Ross Mitchell, Professor of Radiology, Mayo Clinic College of Medicine, Mayo Clinic Arizona
12:00-2:00Lunch Break
See "Venue and Local Info" tab for suggestions
12:30-1:45Diversity Luncheon (Registration required)
El Mercado, 1702 Lavaca Street
1:00-2:00New visual defaults for matplotlib 2.0 BOF
Grand Ballroom
Moderator: Thomas Caswell, Brookhaven National Laboratory
Future of Pandas BOF
Room 204
Moderator: Stephan Hoyer, The Climate Corporation
Python and GIS BOF
Room 203
Moderator: Paige Bailey, Chevron
1:00-2:00Open Science BOF
Room 106
Moderator: Elizabeth Seiver, PLOS
2:00-2:20Data ScienceGeophysics

The Polyglot Beaker Notebook

Grand Ballroom
Scott Draves, Two Sigma Open Source

Touch your Data! Color 3D Printing with Python

Room 204
Joe Kington, Chevron

scikit-bio: A Bioinformatics Library for Data Scientists, Students, and Developers

Room 203
Jai Ram Rideout, Northern Arizona University
Evan Bolyen, Northern Arizona University
2:20-2:40Data ScienceGeophysics

Structural Cohesion: Visualization and Heuristics for Fast Computation with NetworkX and matplotlib

Grand Ballroom
Jordi Torrents, NetworkX

Using Python to Span the Gap between Education, Research, and Industry Applications in Geophysics

Room 204
Lindsey Heagy, University of British Columbia: Geophysical Inversion Facility

Analyzing Genomic Data with PyEnsembl and Varcode

Room 203
Alex Rubinsteyn, Mount Sinai School of Medicine
Tim O'Donnell, Mount Sinai School of Medicine
2:40-3:00Data ScienceGeophysics

Welcome to the Algo Wars: Leveraging Design Thinking for Building Scalable Enterprise Intelligent Systems using Python

Grand Ballroom
Zubin Dowlaty, Mu Sigma
Subir Mansukhani, Mu Sigma
Bharat Upadrasta, Mu Sigma

Global Hydrology Analysis Using Python

Room 204
Mattheus Ueckermann, Creare

Python as a First Programming Language for Biomedical Scientists

Room 203
Jeannie Irwin, University of Pittsburgh
3:00-3:30Mid-afternoon Break (with a book signing by Kurt Smith)
Snacks served in the Tejas Room and outside the Grand Ballroom
3:30-3:50Data ScienceGeophysics

State of the Library: matplotlib

Grand Ballroom
Thomas Caswell, Brookhaven National Laboratory
Benjamin Root

Geodynamic Simulations in HPC with Python

Room 204
Nicola Creati, OGS
Roberto Vidmar, OGS
Paolo Sterzai, OGS

Rapid Accurate and Simple Segmentation of Objects in Medical Images

Room 203
Ross Mitchell, Professor of Radiology, Mayo Clinic College of Medicine, Mayo Clinic Arizona
3:50-4:10Data ScienceGeophysics

Building a Cloud-based Data Science Platform with Python

Grand Ballroom
Stephen Hoover, Data Scientist, Civis Analytics

Practical Integration of Processing, Inversion and Visualization of Magnetotelluric Geophysical Data

Room 204
Gudni Rosenkjaer, University of British Columbia

Qiita: Report of Progress Towards an Open Access Microbiome Data Analysis and Visualization Platform

Room 203
Adam Robbins-Pianka, University of Colorado, Boulder
Yoshiki Vazquez-Baeza, University of California, San Diego
4:10-4:30Data ScienceGeophysics

Python in Data Science Research and Education

Grand Ballroom
Randy Paffenroth, Worcester Polytechnic Institute

Striplog: Wrangling 1D Subsurface Data

Room 204
Matt Hall, Agile Geoscience

ETE: A Python Programming Toolkit for the Analysis and Visualization of Trees

Room 203
Jaime Huerta-Cepas, EMBL
4:30-5:30Lightning Talks
Grand Ballroom
5:30-6:30Visualization BOF
Grand Ballroom
Moderator: Keynote Speaker: Jake VanderPlas PhD, Director of Research – Physical Sciences, eScience Institute, University of Washington
Horizons in Probabilistic Programming and Bayesian Analysis BOF
Room 204
Moderator: Chris Fonnesbeck, Assistant Professor, Department of Biostatistics, Vanderbilt University School of Medicine
Future of NumPy BOF
Room 203
Moderator: Nathaniel Smith, University of California, Berkeley
7:00-9:30Riverboat Cruise on Lady Bird Lake (Registration required)
Docking location next to the South First Street Bridge, on the south shore of Lady Bird Lake

Friday, 7/10/15
7:30-9:00Breakfast
Served in the Tejas Room and outside the Grand Ballroom
9:00-9:15Welcome
Grand Ballroom
9:15-10:00Keynote: State of the Tools
Grand Ballroom
Keynote Speaker: Jake VanderPlas PhD, Director of Research – Physical Sciences, eScience Institute, University of Washington
10:00-10:30Mid-morning Break
Snacks served in the Tejas Room and outside the Grand Ballroom
10:30-10:50GeneralGeneralGeneral

Keep on Releasin': Continuous Delivery for Open Source

Grand Ballroom
Philip Elson, Met Office

Towards a Better Documentation System for Scientific Python

Room 204
Carlos Cordoba, Continuum Analytics

Agent-Based Modeling in Python with Mesa

Room 203
Jackie Kazil
David Masad, George Mason University
10:50-11:10GeneralGeneralGeneral

From 1-Day Release to 1-Min Release (or How to Recover Time with Automation)

Grand Ballroom
Damian Avila, Continuum Analytics

Circumventing the Linker: Using SciPy's BLAS and LAPACK within Cython

Room 204
Ian Henriksen, Brigham Young University

So How ARE Scientists Using Python on Supercomputers?

Room 203
Michael Milligan, Minnesota Supercomputing Institute, University of Minnesota
11:10-11:30GeneralGeneralGeneral

Accelerating Python with the Numba JIT Compiler

Grand Ballroom
Stanley Seibert, Continuum Analytics

A Framework for Analyzing GADGET Simulation Data in Pandas

Room 204
Jacob Hummel, University of Texas, Austin

Docker for Improved Reproducibility of Scientific Python Analyses

Room 203
Matthew McCormick, Kitware
11:30-12:00GeneralGeneralGeneral
Statistical Thinking for Data Science
Grand Ballroom
Chris Fonnesbeck, Assistant Professor, Department of Biostatistics, Vanderbilt University School of Medicine

klepto: Unified Persistent Storage to Memory, Database, or Disk

Room 204
Michael McKerns, UQ Foundation

Typing Arrays with DyND

Room 203
Mark Wiebe, Thinkbox Software
12:00-2:00Lunch Buffet
Served in the Tejas Room and outside the Grand Ballroom
1:00-2:00IPython/Jupyter and Education BOF
Room 204
Jessica Hamrick, University of California, Berkeley
Meteorology BOF
Room 203
Ryan May, UCAR/Unidata
1:30-4:30Workshop on Sustainable Software for Science (WSSSPE): Practices and Experiences
Room 106
2:00-2:20Data ScienceOceanography

RESTful HDF

Grand Ballroom
John Readey, HDF Group

A Distributed, Standards-Based Framework for Searching, Accessing, Analyzing and Visualizing Met-Ocean Data: Application to Hurricane Sandy

Room 204
Richard Signell, USGS
Filipe Fernandes, SECOORA
Kyle Wilcox, Axiom Data Science
Andrew Yan, USGS

Who Needs Standard Stars Anyway? Telluric Model Fitting with TelFit

Room 203
Kevin Gullikson, University of Texas
2:20-2:40Data ScienceOceanography

Wrapping C and C++ Libraries with CastXML

Grand Ballroom
Brad King, Kitware
Bill Hoffman, Kitware
Matthew McCormick, Kitware
Michka Popoff

Exploring Open Access Weather Radar with the Python ARM Toolkit

Room 204
Jonathan Helmus, Argonne National Laboratory
Scott Collis, Argonne National Laboratory

The James Webb Space Telescope Data Calibration Pipeline

Room 203
Howard Bushouse, Space Telescope Science Institute
2:40-3:00Data ScienceOceanography

Perceptual Colormaps in matplotlib with an Application in Oceanography

Grand Ballroom
Kristen Thyng, Assistant Research Scientist, Texas A&M University

Characterizing the Seafloor with Python as a Toolbox

Room 204
Johanna Hansen, Woods Hole Oceanographic Institution

Widgets and Astropy: Accomplishing Productive Research with Undergraduates

Room 203
Matthew Craig, Minnesota State University Moorhead
3:00-3:30Mid-afternoon Break (with a book signing by Katy Huff and Anthony Scopatz)
Snacks served in the Tejas Room and outside the Grand Ballroom
3:30-3:50Data ScienceOceanography

Causal Bayesian NetworkX

Grand Ballroom
Michael Pacer, Graduate Student, University of California, Berkeley

PySPLIT: a Package for the Generation, Analysis, and Visualization of HYSPLIT Air Parcel Trajectories

Room 204
Mellissa Cross

Automated Image Quality Monitoring with IQMon

Room 203
Josh Walawender, Instrument Astronomer, Subaru Telescope
3:50-4:10Data ScienceOceanography

ASDF, a New Scientific Data Format

Grand Ballroom
Perry Greenfield, Space Telescope Science Institute
Michael Droettboom, Space Telescope Science Institute
Erik Bray, Space Telescope Science Institute

From Zero to Hero in Two Years, Open Collaborative Radar Software and the Secret to our Success

Room 204
Scott Collis, Argonne National Laboratory
Nick Guy, University of Wyoming
Anderson Gama, SIMEPAR - Sistema Meteorológico do Paraná
Cesar Beneti, SIMEPAR - Sistema Meteorológico do Paraná
Stephen Nesbitt, University of Illinois
Scott Giangrande, Brookhaven National Laboratory
Maik Hiestermann, University of Potsdam
Kai Muehlbauer, University of Bonn

Astropy in 2015

Room 203
Erik Tollerud, Hubble Fellow, Astropy/Yale University
4:10-4:30Data ScienceOceanography

UDL: Unified Interface for Deep Learning

Grand Ballroom
Haitham Elmarakeby, Virginia Tech University

Python in Tidal Energy: Three Tools Used in a Collaboration on Array Optimization

Room 204
Kristen Thyng, Assistant Research Scientist, Texas A&M University

Python Tools for Space Mission Data Analyses

Room 203
Michael Aye, LASP
4:30-5:30Lightning Talks
Grand Ballroom
5:30-6:30Jupyter and IPython BOF
Grand Ballroom
Moderator: Min Ragan-Kelley, IPython
SciPy 2016 BOF (with a focus on increasing diversity)
Room 204
Moderator: Kelsey Jordahl, Scientific Software Developer, Enthought