Scientific Computing with Python
Austin, Texas • July 10-16, 2017
 

SciPy 2017 Talk & Poster List

The following Talks and Posters have been accepted for SciPy 2017. 

The SciPy Organizing Committee greatly appreciates 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 look forward to seeing you at SciPy in July!
Astronomy
Stingray : A Library of Time Series Methods for Astronomical X-Ray Data [More Info]
Himanshu Mishra, IIT KGP, India
Daniela Huppenkothen, NYU, USA
Usman Khan, NUST, Pakistan
A Fast Template Periodogram for Finding Periodic (Non-Sinusoidal) Waveforms in Noisy, Irregularly-Sampled Time Series Data [More Info]
John Hoffman, Princeton University
ChiantiPy: a Python Package for Astrophysical Spectroscopy [More Info]
Will Barnes, Graduate Student, Department of Physics and Astronomy, Rice University
Kenneth Dere, Research Professor, College of Science, George Mason University
Vizic: A Jupyter-Based Interactive Visualization Tool for Astronomical Catalogs [More Info]
Weixiang Yu
 
Biology, Biophysics and Biostatistics
PyGBe: Python, GPUs and Boundary Elements for Biomolecular Electrostatics [More Info]
Natalia Clementi, George Washington University
Gilbert Forsyth, George Washington University
Lorena Barba, George Washington University
LabbookDB [More Info]
Horea-Ioan Ioanas, Institute for Biomedical Engineering, ETH and University of Zurich
Predicting Phenotype from Genotype with Machine Learning [More Info]
Patricia Francis-Lyon, University of San Francisco
Shraddha Lanka, University of San Francisco
Lakshmi Navin Arbatti, University of San Francisco
Gaurika Tyagi, University of San Francisco
Hung Do, University of San Francisco
Rambutan: A Python Package for Predicting 3D Genome Architecture [More Info]
Jacob Schreiber, University of Washington
 
Computational Science and Numerical Techniques
Optimised Finite Difference Computation from Symbolic Equations [More Info]
Michael Lange, Imperial College London, UK
Navjot Kukreja, Imperial College London, UK
Fabio Luporini, Imperial College London, UK
Mathias Louboutin, The University of British Columbia, Canada
Gerard Gorman, Imperial College London, UK
Sarkas: A Fast Pure-Python Molecular Dynamics Code [More Info]
Gautham Dharuman, Michigan State University
Michael S. Murillo, Michigan State University
Yongjun Choi, Michigan State University
Systematic Application of PySPH to Bubble Dynamics [More Info]
Erin Arai, Boston University
 
Data Science
Big Data Processing with Apache Beam Python [More Info]
Robert Bradshaw
Deploying Interactive Jupyter Dashboards for Visualizing Hundreds of Millions of Datapoints, in 30 Lines of Python [More Info]
Philipp Rudiger, Continuum Analytics Inc.
James A. Bednar, Continuum Analytics
Jean-Luc Stevens, Continuum Analytics
Distributed Convex Optimization for GLMs [More Info]
Chris White, Capital One
Hussain Sultan, AQN Strategies
HDF Data Services [More Info]
John Readey
Hunting for Emerging Trends in Music Using Bayesian Inference [More Info]
Alex Companioni
pomegranate: Fast and Flexible Probabilistic Modeling in Python [More Info]
Jacob Schreiber, University of Washington
Reskit — A Library for Creating and Curating Reproducible Pipelines for Scientific Machine Learning [More Info]
Dmitry Petrov
Alexander Ivanov
Daniel Moyer
Using Mystic to Accelerate Data Science [More Info]
Michael McKerns, UQ Foundation
SciSheets: Providing the Power of Programming with the Simplicity of Spreadsheets [More Info]
Joseph Hellerstein, University of Washington
Alicia Clark, University of Washington
 
Earth, Ocean and Geo Science
From the Field to Geostationary Orbit: Mapping Lightning with Python [More Info]
Eric Bruning, Texas Tech University
Global 5 Meter Resolution Time Series Mosaics [More Info]
Amit Kapadia, Planet
Pygridtools: A Collaboration Academia, Open Source, and the Private Sector [More Info]
Paul Hobson, Geosyntec Consultants
Using Python to Process and Visualize Real-Time Atmospheric Data During VORTEX-SE [More Info]
Abby Kenyon, Texas Tech University
Aaron Hill, Texas Tech University
WARNO: Multi-platform Monitoring Framework for Remote Sensing Instrumentation. [More Info]
Joseph Hardin, Pacific Northwest National Laboratory
Bringing the Generic Mapping Tools to Python [More Info]
Leonardo Uieda, Department of Geology and Geophysics, University of Hawaii at Manoa, USA, Faculdade de Geologia, Uni
Paul Wessel, Department of Geology and Geophysics, University of Hawaii at Manoa, USA
Deep Learning with Geospatial Data [More Info]
Shane Grigsby, Cooperative Institute for Research in Environmental Sciences (CIRES)
Interactive Geophysics [More Info]
Lindsey Heagy, University of British Columbia
Rowan Cockett
MetPy’s Choice of Unit Support: A Descent into Madness [More Info]
Ryan May, Unidata
John Leeman
 
General
Berryconda : Scientific Python on the Raspberry Pi [More Info]
Jonathan Helmus
Dataflow Notebooks: Encoding and Using Cell Dependencies [More Info]
David Koop, University of Massachusetts, Dartmouth
nbgrader: A Tool for Creating and Grading Assignments in the Jupyter Notebook [More Info]
Jessica Hamrick, University of California, Berkeley
Matthias Bussonnier, IPython/Jupyter, University of California, Berkeley
Jonathan Frederic
Brian Granger, Cal Poly State University, Project Jupyter
Logan Page
Min Ragan-Kelley, IPython/Jupyter
Carol Willing
Python + Tableau: Building an Interactive and Beautiful Data Visualization with TabPy [More Info]
Chloe Tseng, Twitter
Robust Color Matching of Geospatial Data: An Alternative to Histogram Matching [More Info]
Joe Kington
Scientific MicroPython on Microcontrollers and IoT [More Info]
Roberto Colistete Jr, Federal University of Espirito Santo, Brazil
bqplot - Seamless Interactive Visualizations in the Jupyter Notebook [More Info]
Dhruv Madeka, Senior Machine Learning Scientist, Amazon
Efficient Array Computing in C++ with xtensor and Apache Arrow [More Info]
Johan Mabille, QuantStack
Sylvain Corlay, QuantStack
Make Your Observational Study an Experiment [More Info]
Peter Skipper, Data Scientist, Research & Development, Civis Analytics
MatchPy: A Pattern Matching Library [More Info]
Manuel Krebber, RWTH Aachen University
The Demeshening: The Next Generation of Particle Support in yt [More Info]
Nathan Goldbaum, University of Illinois
Meagan Lang, University of Illinois
 
Machine Learning and AI
Adjusting Estimation Bias from Link-Tracing Sampling in Social Networks [More Info]
Wendy Wei
Calculating Radiation Doses for Tumor Treatment with Learning Algorithms [More Info]
Roy Keyes, Arundo Analytics
Efficient Image Search and Identification: The Making of Wine-O.AI [More Info]
Michelle Gill, Metis
Fully Convolutional Networks for Image Segmentation [More Info]
Daniil Pakhomov, Johns Hopkins University
NEXT: Machine Learning, Crowdsourcing, and Cartoons [More Info]
Scott Sievert, University of Wisconsin–Madison
A Python API for Earth [More Info]
Sam Skillman, Descartes Labs
hybrid-vocal-classifier (HVC): a Python Package to Automate Labeling of Birdsong for Behavioral Experiments [More Info]
David Nicholson, Emory University
Learning in Cycles: Implementing Sustainable Machine Learning Models in Production [More Info]
Andrew Therriault, City of Boston
 
Materials Science and Engineering
Designing a Python-based Monte Carlo Tool for Generating Non-Equilibrium Semi-Crystalline Polymer Configurations [More Info]
Tyler Martin
Materials Project - A Prime Case of Software Engineering in Materials Sciences [More Info]
Patrick Huck
Tomviz: A Platform for Reproducible Materials Tomography [More Info]
Marcus Hanwell, Kitware
Quantifying Plastic Deformation using Machine Learning [More Info]
Michail Tzimas, West Virginia University
The OOF Finite Element Tool for Materials Science [More Info]
Andrew Reid, NIST
 
Neuroscience
PyHRF: A Python Library for the Analysis of fMRI Data Based on the Study of Hemodynamics [More Info]
Jaime Arias, Inria Grenoble Rhône-Alpes
Philippe Ciuciu
Michel Dojat
Florence Forbes
Aina Frau-Pascual
Thomas Perret
Jan Warnking
MNE-Python to See the Brain at a Millisecond Time-Scale [More Info]
Alexandre Gramfort, INRIA
Author: Eric Larson, University of Washington
Author: Denis Engemann, INRIA
Author: Jaakko Leppäkangas, Telecom ParisTech, Université Paris-Saclay
Author: Mainak Jas, Telecom ParisTech, Université Paris-Saclay
Author: Christian Brodbeck, New York University
Author: Teon B Brooks, Stanford University
Author: Jean-Rémi King, New York University
Author: Chris Holdgraf, University of California, Berkeley
Author: Marijn van Vliet, Aalto University
Author: Matti Hamalainen, Massachusetts General Hospital, Harvard University
pulse2percept: A Python-based Simulation Framework for Bionic Vision [More Info]
Michael Beyeler, Department of Psychology, University of Washington, Institute for Neuroengineering (UWIN)
Ariel Rokem, eScience Institute, University of Washington
Geoffrey M. Boynton, Department of Psychology, University of Washington
Ione Fine, Department of Psychology, University of Washington
 
Open Data and Reproducibility
Creating Reproducible Experiments with ReproZip [More Info]
Vicky Steeves, New York University
Fernando Chirigati, New York University
Rémi Rampin, New York University
Introducing JOSS: The Journal of Open Source Software [More Info]
Kyle Niemeyer, Oregon State University
Arfon Smith
Lorena Barba, George Washington University
George Githinji
Melissa Gymrek
Kathryn Huff, University of Illinois at Urbana-Champaign
Daniel Katz
Christopher Madan
Abigail Cabunoc Mayes
Kevin Moerman
Pjotr Prins
Karthik Ram
Ariel Rokem
Tracy Teal, Data Carpentry
Jake Vanderplas
Sacred: How I Learned to Stop Worrying and Love the Research [More Info]
Klaus Greff, IDSIA, USI, SUPSI
 
SciPy Tools
Diversity & Inclusion at the SciPy Conference [More Info]
Julie Hollek, Twitter
Make it Work, Make it Right, Make it Fast - Debugging and Profiling in Dask [More Info]
James Crist, Continuum Analytics
Terabytes at Your Fingertips: Interactive Big Data Coding with PySpark [More Info]
Sam Penrose
The Spyder Ecosystem of Plugins [More Info]
Carlos Cordoba
Composable Multiprocessing and Multithreading for Numeric Libraries [More Info]
Anton Malakhov, Intel Corporation
Anton Gorshkov, Intel Corporation
Terry Wilmarth
Dash - A New Framework for Building User Interfaces for Technical Computing [More Info]
Chris Parmer
Dask: Advanced Techniques [More Info]
Matthew Rocklin, Continuum Analytics
Scientific Analysis at Scale: a Comparison of Five Systems [More Info]
Jake VanderPlas, UW eScience Institute

Accepted Posters

Posters
A New Approach of Combining Time-Series Forecasts Using Scipy and SKLearn [More Info]
Eugene Chen, Adobe Systems
Hunting for Astrophysical Point Sources with Python [More Info]
Siddharth Mishra Sharma
noWorkflow: Collecting, Managing, and Analyzing Provenance from Python Scripts [More Info]
Joao Felipe Nicolaci Pimentel
Juliana Freire
Vanessa Braganholo
Leonardo Murta
Python Data Processing System for Exploring Optical Properties of Materials with T-Rays [More Info]
Alexander Mamrashev, Institute of Automation & Electrometry SB RAS
Lev Maximov, Insitute of Automation & Electrometry SB RAS
Alexey Nazarov
3D Magnetic Modelling of Ellipsoidal Bodies [More Info]
Diego Tomazella
Accuracy and Numerical Precision of Discrete Probability Distributions: A Comparison of SciPy, R, and a Numba/Cephes-Based Implementation. [More Info]
Elliot Hallmark, Asuragen Inc
An Overview of Bayesian Network Structure Learning [More Info]
Jacob Schreiber, University of Washington
Automatic Small Angle Scattering Anisotropic Data Reduction [More Info]
Ricardo Ferraz Leal, ORNL
Bayesian Tools for Observational Cosmology of Type Ia Supernovae using PyCUDA [More Info]
Roberto Colistete Jr
BespON: Extensible Config Files with Multiline Strings, Lossless Round-Tripping, and Hex Floats [More Info]
Geoffrey Poore, Associate Professor of Physics, Union University
Building a Monitoring Dashboard for In-Situ Space Weather Ion and Electron Spectrometers [More Info]
Daniel da Silva
Building Better Radar Data, Block by Open Source Block [More Info]
Scott Collis, Argonne National Laboratory, The University of Chicago
Canvas-Style Interaction with Python: A D3 Interface to Phcpy in Jupyter [More Info]
Jasmine Otto, University of Illinois at Chicago
Challenges of Numerical Analysis in Near-IR Echellogram Data Reduction [More Info]
Andrew Colson
Competition and Bank Fragility [More Info]
Blake Marsh, Federal Reserve Bank of Kansas City
Creating a Python Cocoon around Legacy C Code [More Info]
Molly Hardman
Mary J. Brodzik
Kevin Beam
Defining Features of mRNAs Regulated by Oncogenic eIF4E: A Pan-Survey Study Utilizing Predictive Technology to Define the Translational Landscape of eIF4E in Cancer. [More Info]
Amanda Ernlund
Easy Steps for Accelerating Scientific Python [More Info]
Robert Cohn, Intel Corporation
Anton Malakhov, Intel Corporation
FigureFirst: A Layout Tool for Itterative Scientific Figure Construction [More Info]
Theodore Lindsay
Peter Weir
Floris Van Breugel
Interactive HPC Gateways with Jupyter and Jupyterhub [More Info]
Michael Milligan, Minnesota Supercomputing Institute, University of Minnesota
Jupyter Notebooks for Neutron Radiography Data Processing Analysis [More Info]
Jean Bilheux, Oak Ridge National Laboratory
Keep it Sympl: Representing Clouds and Turbulence with CHOMP [More Info]
Jeremy McGibbon, University of Washington
Author: Christopher S. Bretherton, University of Washington
Looking for a Challenge? Lessons in Running International Grand Challenges [More Info]
Brian Helba
Maintaining the Psi4 Ecosystem: Adventures in Building and Distribution [More Info]
Lori Burns
Meteorologists and their CAPEs [More Info]
John Leeman, Unidata
Ryan May, Unidata
Network Analysis on Twitter #Gamergate 2+ Years Later [More Info]
Emily Chao
NeuroLachesis: A Neuromorphic Framework [More Info]
Georgios Detorakis, Department of Cognitive Sciences, UC Irvine
Dan Barsever, Department of Cognitive Sciences, UC Irvine
Emre Neftci, Department of Cognitive Sciences, UC Irvine
Parallel Analysis in MDAnalysis Using the Dask Parallel Computing Library [More Info]
Author: Mahzad Khoshlessan, Arizona State University
Author: Oliver Beckstein, Arizona State University
Author: Shantenu Jha, Rutgers University
Author: Ioannis Paraskevakos, Rutgers University
Pescador: A Stream Manager for Iterative Learning [More Info]
Brian McFee
pyMolDyn: Identification, Structure, and Properties of Cavities/Vacancies in Condensed Matter and Molecules [More Info]
Ingo Heimbach
PySeqArray: Data Manipulation of Whole-Genome Sequencing Variants in Python [More Info]
Xiuwen Zheng, University of Washington
Python Implementation of Item Response Theory Calculations for Fitting Logistic Models [More Info]
David Mashburn, Pluralsight, LLC
Python Meets Systems Neuroscience: Affordable, Scalable and Open-Source Electrophysiology in Awake, Behaving Rodents. [More Info]
Narendra Mukherjee, Brandeis University
Scikit-beam: Python Data Analysis Library for X-ray, Neutron and Electron Data. [More Info]
Sameera Abeykoon, Brookhaven National Laboratory
Author: Thomas Caswell, Brookhaven National Laboratory
Author: Daniel Allan, Brookhaven National Lab
Author: Arman Akilic, National Synchroton Light Source-II, BNL
Author: Staurt Campbell, National Synchrotron Light Source-II, BNL
Author: Kirstein van Dam, Computational Science Initiative, BNL
Author: Li Li, National Synchrotron Light Source-II, BNL
Secrets of Accelerating Scientific Python [More Info]
Anton Malakhov, Intel Corporation
Oleksandr Pavlyk, Intel Corporation
Denis Nagorny, Intel Corporation
Software Transactional Memory in Pure Python [More Info]
Dillon Niederhut, Enthought
SPORCO: A Python Package for Standard and Convolutional Sparse Representations [More Info]
Brendt Wohlberg
Storm Cell Tracking in Python [More Info]
Mark Picel, Argonne National Laboratory
Synthpy: A Synthetic Data Generation Library Built on the Python Scientific Computing Stack [More Info]
Pamela Wu, New York University
David Fenyo
The Intersection of Data Science, Machine Learning and Structural Engineering [More Info]
David Najera
Unified Approach for Constructing Optimization Strategies Based on Python Linear Algebra Modules [More Info]
Nadia Udler
Using Matplotlib and IPython In Neutron Scattering Experiment Data Reduction Software [More Info]
Wenduo Zhou, Oak Ridge National Laboratory
Using Python to Generate 3D Wind Fields from Doppler Radars [More Info]
Robert Jackson, Argonne National Laboratory