MIT SDSCon 2018: Statistics and Data Science Conference Introductory remarks Michael Sipser, Dean of MIT School of Science Devavrat Shah, Director of MIT Statistics and Data Science Center 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 Plenary Talk: Predicting Human Error Sendhil Mullainathan, Professor, Harvard University, Economics Plenary Talk: Natural Language for Societal Challenges Kathleen McKeown Professor, Columbia University, Computer Science Session 2: Industry Session Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim, Research Scientist, Google Brain Data Science at Facebook Carlos Gomez Uribe, Internet Tech Product and Algorithms Leader, Facebook Session 3: Panel Discussion “Frontiers of Data Visualization” Arvind Satyanarayan, Post-Doctoral Research Scientist, Google Brain & Assistant Professor, MIT EECS/CSAIL Matthew Kay, Assistant Professor, University of Michigan, School of Information Martin Wattenberg, Senior Staff Research Scientist, Google Michelle Borkin, Assistant Professor, Northeastern University, Computer and Information Science Plenary Talk: Multi-Period Trading via Convex Optimization Stephen Boyd, Professor, Stanford University, Engineering
