Friday, April 20, 2018 | MIT Bartos Theater, 20 Ames Street, Wiesner Building E15, Atrium Level
Overview
The mission of SDSC is to advance research activities and academic programs in the “21st Century Statistics” whose foundations include Probability, Statistics, Computation and Data Analysis. The conference will feature presentations from established academic leaders, industry innovators, and rising stars. Discussions will cover a wide range of theory and application, representing the latest research and breakthroughs in statistics and data science.
Agenda
Introductory remarks by Michael Sipser, Dean of MIT School of Science, and 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 1 : “Predicting Human Error” by Sendhil Mullainathan, Professor, Harvard University, Economics
Plenary Talk 2: “Natural Language for Societal Challenges” by Kathleen McKeown, Professor, Columbia University, Computer Science
Session 2: Industry
Been Kim, Research Scientist, Google Brain on “Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)”
Carlos Gomez Uribe, Internet Tech Product and Algorithms Leader, Facebook on “Data Science At Facebook”
Session 3: Panel Discussion “Frontiers of Data Visualization” moderated by Arvind Satyanarayan, Post-Doctoral Research Scientist, Google Brain & Assistant Professor, MIT EECS/CSAIL.
Speakers: Matthew Kay, Assistant Professor, University of Michigan, School of Information, Uncertainty Visualization, Martin Wattenberg, Senior Staff Research Scientist, Google, and Michelle Borkin, Assistant Professor, Northeastern University, Computer and Information Science.
Plenary Talk 3: “Multi-Period Trading via Convex Optimization” by Stephen Boyd, Professor, Stanford University, Engineering