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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