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

SciPy 2017 Schedule

The 2017 conference will consist of two days of tutorials followed by three days of presentations, and conclude with two days of developer sprints on projects of interest to attendees. 

Tutorials will be held from 8:30 am to 5:00 pm July 10-11, 2017 and the schedule is expected to be announced on April 24th. 

The Conference Program will run July 12-14, 2017 from 9:00 am to 6:00 pm with evening activities on Wednesday and Thursday. The Conference speakers and schedule will be announced in mid May. 

Sprints will run from 9:00 am-6:00 pm July 15-16, 2017.

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We are thrilled to announce our Keynote Speakers!

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Dr. Kathryn D. Huff is currently an Assistant Professor in the Department of Nuclear, Plasma, and Radiological Engineering at the University of Illinois at Urbana-Champaign where she leads the Advanced Reactors and Fuel Cycles Research Group (arfc.npre.illinois.edu). She holds an affiliate faculty position with the National Center for Supercomputing Applications and is one of the University of Illinois' most recent Blue Waters Professors. She was previously a Postdoctoral Fellow with both the Nuclear Science and Security Consortium and the Berkeley Institute for Data Science at the University of California - Berkeley. She received her PhD in Nuclear Engineering from the University of Wisconsin-Madison in August 2013 and her undergraduate degree in Physics from the University of Chicago. Her current research focuses on modeling and simulation of advanced nuclear reactors and fuel cycles. She is currently the elected chair of the Fuel Cycle and Waste Management Division of the American Nuclear Society. Through leadership within the Hacker Within, Software Carpentry, SciPy, the Journal of Open Source Software, and other initiatives she strives to advocate for best practices in open, reproducible scientific computing.

Sean Gulick is interested in tectonic-climate interactions, the role of catastrophism in the geologic record and marine geophysical imaging at nested resolutions. His current projects include tectonic and climate interactions in the St. Elias Mountains and Surveyor submarine fan, geohazards and margin evolution of subduction and transform faulting in Alaska, Sumatra, and Japan, and the geologic processes and environmental effects of the Cretaceous-Paleogene Chicxulub meteor impact.

Gaël Varoquaux is an INRIA faculty researcher working on data science for brain imaging in the Neurospin brain research institute (Paris, France). His research focuses on modeling and mining brain activity in relation to cognition. Years before the NSA, he was hoping to make bleeding-edge data processing available across new fields, and he has been working on a mastermind plan building easy-to-use open-source software in Python. He is a core developer of scikit-learn, joblib, Mayavi and nilearn, a nominated member of the PSF, and often teaches scientific computing with Python using the scipy lecture notes.