FRIDAY APRIL 20, 2018

MIT SDSCon, Statistics and Data Science Conference 

MIT Bartos Theater, 20 Ames Street, Weisner Building E15, Atrium Level

8:00am-8:45am Registration, Breakfast and Networking

8:45-9:00am: Introductory remarks:

• Michael Sipser, Dean of MIT School of Science
• Devavrat Shah, Director of MIT Statistics and Data Science Center

9:00am:  Session 1: MIT

• Leonid Mirny, Professor, MIT Department of Physics
• Joshua Tenenbaum, Professor, MIT Department of Brain and Cognitive Sciences
• Piotr Indyk, Professor, MIT Electrical Engineering & Computer Science

10:15am-10:45am: Coffee Break

10:45am: Plenary Talk: Predicting Human Error

• Sendhil Mullainathan, Professor, Harvard University, Economics

11:45am-1:00pm: Lunch/Poster Session

1:00pm: Plenary Talk: Natural Language for Societal Challenges

• Kathleen McKeown, Professor, Columbia University, Computer Science

2:00pm: Session 2: Industry

• Been Kim, Research Scientist, Google Brain
  Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
• Carlos Gomez Uribe, Internet Tech Product and Algorithms Leader, Facebook
  Data Science At Facebook

3:00-3:15pm Coffee Break

3:15pm: Session 3:  Panel Discussion “Frontiers of Data Visualization” moderated by Arvind Satyanarayan, Post-Doctoral Research Scientist, Google Brain &   Assistant Professor, MIT EECS/CSAIL

• Matthew Kay, Assistant Professor, University of Michigan, School of Information
  Uncertainty Visualization
• Martin Wattenberg, Senior Staff Research Scientist, Google
• Michelle Borkin, Assistant Professor, Northeastern University, Computer and Information Science

4:05pm Coffee Break

4:30pm: Plenary Talk: Multi-Period Trading via Convex Optimization

• Stephen Boyd, Professor, Stanford University, Engineering