
Talks & Posters
The following Talks and Posters will be presented at SciPy 2019.
The SciPy Organizing Committee greatly appreciates the work and dedication of 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.
Topics
Data Driven Discoveries
Neuroscience & Cognitive Science
Earth, Ocean, Geo and Atmospheric Science
Open Source Communities
General
Science Communication Through Visualization
Image Processing
Posters
Data Driven Discoveries
A Geographers Journey into AI: Mapping Urban Trees from Scratch
Stefanie Lumnitz
Mahdi Shooshtari
Verena Griess
Chainer: A Deep Learning Framework for Fast Research and Applications
Vincent (Hiroyuki) Yamaz
Challenges in Detecting Physiological Changes Using Wearable Sensor Data
Edward Preble
Kristin Gilchrist
Meghan Hegarty-Craver
Data Analysis Tools for the James Webb Space Telescope: a Confluence of Academia, NASA, and Open Source
Erik Tollerud
Generational Changes in Support for Gun Laws: A Case Study in Computational Statistics
Allen Downey
Raiders of the Pottery GAN: Using 3D Generative Adversarial Networks for Data Augmentation in Archaeological Studies
Celia Cintas
Manuel Lucena
José Manuel Fuertes Garcia
Using a Stacking Model Ensemble Approach to Predict Rare Events
Alice Broadhead
Gene Ferruzza
Visual Diagnostics at Scale: More Informed Machine Learning with Large Datasets
Rebecca Bilbro
Zarr - Scalable Storage of Tensor Data for Use in Parallel and Distributed Computing
Ryan Abernathey
Stephan Balme
Ambrose Carr
Earth, Ocean, Geo and Atmospheric Science
Python in Seismology at the National Earthquake Information Center: APIs and Applications
Michael Hearne
Echopype: Enhancing the Interoperability and Scalability of Ocean Sonar Data Processing for Biological Information
Wu-Jung Lee
Valentina Staneva
How to Track Plastic in the Ocean? The Parcels Lagrangian Ocean Framework
Philippe Delandmeter
Erik van Sebille
Renewable Power Forecast Generation with Dask and Visualization with Bokeh
Antonio T. Lorenzo
Leland J. Boeman
William F. Holmgren
Turning HPC Systems into Interactive Data Analysis Platforms using Jupyter and Dask
Anderson Banihirwe
Joseph Hamman
Kevin Paul
General
Composing and Decomposing Quantum Chemistry Software: Transitioning a Field from ASCII Text to Relational Data Documents and Schema
Daniel Smith
Lori Burns
Freud: A Software Suite for High-Throughput Analysis of Nanoscale Simulation Data
Vyas Ramasubramani
Bradley Dice
Eric Harper
Git “Hooked” On Images In Your Version Control and Up Your Documentation Game
Veronica Hanus
Optuna: A Define-by-Run Hyperparameter Optimization Framework
Takuya Akiba
Shotaro Sano
Toshihiko Yanase
Scikit-TDA: Topological Tools for the Python Ecosystem
Nathaniel Saul
Christopher Tralie
Hendrik Jacob van Veen
Test Research Code the Easy Way: By Generating Random Inputs with Hypothesis
Zac Hatfield-Dodds
To Comment or Not to Comment? A Data-Drive Look at Conflicting Attitudes Towards Commenting
Veronica Hanus
Patricia Hanus
Image Processing
Optimizing Python-Based Spectroscopic Data Processing on NERSC Supercomputers
Laurie Stephey
Rollin Thomas
Stephen Bailey
Processing Extremely Large Images: Theory and Practice
Matthew McCormick
Deepak Chittajallu
Christian Mühlfeld
Neuroscience and Cognitive Science
Building and Replicating Models of Visual Search Behavior with Tensorflow, Nengo, and the Scientific Python Stack
David Nicholson
Astrid Prinz
Fully Automated Behavioral Experiments on Cultural Transmission through Crowdsourcing
Jordan W. Suchow
Thomas J.H. Morgan
Vishal H. Lall
Open Source Communities
Astropy Beyond Astronomy: Infrastructure of an Open Source Ecosystem
Brigitta Sipőcz
Thomas Robitaille
Erik Tollerud
Building a Sustainable Open Source, Open Science Community with Frictionless Data
Lilly Winfree
Experiences Building Local Communities of Open Source Practices Users through The Carpentries’ Membership Program
Elizabeth Williams
Kari Jordan
Invisible Work, Incentives, and Burnout in Open Communities: A Qualitative and Quantitative Study
Dorothy Howard
Stuart Geiger
Lilly Irani
Science Communication through Visualization
To a Billion and Beyond: How to Visually Explore, Compare and Share Large Quantitative Datasets.
Peter Kerpedjiev
Fritz Lekschas
Nezar Abdennur
Posters
Preventing Disaster: Identifying Nuclear Weapons with Neural Networks
Mark Kamuda
Kathryn Huff
itk-jupyter-widgets: Interactive 3D and 2D Visualization for Jupyte
Matthew McCormick
Sebastien Jourdain
Ken Martin
A Python-Based Framework for Composite Material Property Characterization
David Najera
Doug Melville
Eric Jayson
A Pythonic Equivalent Circuit Model for Battery Research
Gavin Wiggins
Srikanth Allu
Hsin Wang
A Reference Implementation of Domain Context Systems in yt
Samantha Walkow
Matthew Turk
Nathan Goldbaum
Case Study: Real-World Machine Learning Application for Hardware Failure Detection
Hongsup Shin
Conversational Analytics and Visualisation with Modern Data Science Packages
Laurent Prévot
Nathan Vignal
Simone Fuscone
Cortix: A Python Package for Coupled System Dynamic Simulations
Taha Azzaoui
Seamus Gallagher
Valmor de Almeida
Daal4py—Creating a Data Scientist-first Framework with a Hardware-centric Native Library
Oleksandr Pavlyk
Frank Schlimbach
Data Acquisition and Distribution for Offline Systems (DADOS)
Seamus Gallagher
Taha Azzaoui
Valmor de Almeida
Development of a Dynamic Irrigation Water-Use Model within a Hydrologic Decision-Support System in the Mississippi Alluvial Plain, 1999-2017
Jordan Wilson
Wade Kress
EarthSim: Flexible Environmental Simulation Workflows – One Year Later
Kevin Winters
Dharhas Pothina
Scott Christensen
GCNeuro: A Graph Convolutional Network Pipeline for Preprocessing and Analyzing Multimodal Neuroimage Data
Christian McDaniel
Shannon Quinn
Harnessing Graph Theory and Machine Learning for Reducing High-Fidelity Discrete Fracture Network Models
Saumik Dana
Satish Karra
Shriram Srinivasan
Improving Network Connectivity in Rural Texas Counties by Using Pandas and GeoPandas with TIGER Edge and Node Data
Mehmet Kunt
Jennifer Zuehlke
Randy Machemehl
Monitoring the Processing and Delivery of Cloud and Aerosol Products for the Atmosphere SIPS
Jennifer Witt
Liam Gumley
Jessica Braun
Multi Agent Cognitive Architecture for Secure Computation in Internet of Thing
Gajendra Deshpande
Shrirang Kulkarni
Parkinson's Classification and Feature Extraction from Diffusion Tensor Images
Rajeswari Sivakumar
Shannon Quinn
Prepare Your Meal: An Application of Artificial Intelligence in Diabetes Management through Meal Planning
Gajendra Deshpande
Shrirang Kulkarni
Python Workflow for High-Fidelity Modeling of Overland Hydrocarbon Flows with GeoClaw and Cloud Computing
Pi-Yueh Chuang
Tracy Thorleifson
Lorena Barba
SMART: An Open Source Data Labeling Platform for Supervised Learning
Robert Chew
Michael Wenger
Caroline Kery
Sunglint-Polyspectra: The Generation of Simulated Random Data for Numerical Experiments
Geoffrey Cureton
The Data Weaver, A Package Manager for Integrated Datasets
Henry Senyondo
Andrew Zhang
Ethan White
Understanding Oceanographic Discrete Sampling Geometry Data with STOQS
Michael McCann
Kathleen Pitz
Using Scientific Python to Win the Army RCO Signal Classification Challenge
Andres Vila Casado
Kyle Logue
Visualizing the Trends in Health Indicators in the Communities of City of Chicago with Pandas and Geopandas.
Kezban Sila Kunt
pyUSID and Pycroscopy – Community Driven Efforts for Scalable Storage and Analysis of Imaging and Spectroscopic Data
Suhas Somnath
Chris R. Smith
Numan Laanait
pyhf: A pure Python Statistical Fitting Library from the High Energy Physics Community with Tensors and Autograd
Matthew Feickert
Lukas Heinrich
Giordon Stark