Rice 2017 Data Science Conference
PRESENTATION VIDEOS: CLICK HERE!
October 9 & 10, 2017
brought to you by
Ken Kennedy Institute for Information Technology
Rice University
INVITED SPEAKERS:
- Genevera Allen, Associate Professor, Statistics, Rice University Interactive and Dynamic Visualization for Clustering
- Eric Berger, Editor, Space City Weather What Did the Public Really Know About Harvey, and How Can We Better Inform Them?
- Ronald DeVore, The Walter E. Koss Professor and Distinguished Professor of Mathematics, Texas A&M University Optimal Data Assimilation Algorithms
- Niall Gaffney, Director of Data Intensive Computing, Texas Advanced Computing Center, University of Texas at Austin Wrangling Data at Texas Advanced Computing Center
- Justin Gosses & Yulan Lin, NASA Practical Considerations for Data Science Consulting and Innovation in a Large Organization
- Adam Klivans, Associate Professor, Computer Science, University of Texas at Austin Learning Discrete Markov Random Fields with Optimal Runtime and Sample Complexity
- Wes McKinney, Engineer, Two Sigma (author of the “pandas” python data analysis library) Shared Infrastructure for Data Science
- Rick Stevens, Associate Laboratory Director for Computing, Environment and Life Sciences, Argonne National Laboratory Integrating Simulation, Data Analysis and Deep Learning in Science and Engineering Applications
- Devika Subramanian, Professor, Computer Science, Rice University Using big data and machine learning to build spatially fine-grained prediction models of wind and flood damage risk