Instructors

Sharad Goel is a Senior Researcher at Microsoft Research, based in New York City. Sharad’s primary research area is computational social science, and he is particularly interested in questions motivated by sociology and economics. Sharad holds a Ph.D. in Applied Mathematics from Cornell University, and a B.S. in Mathematics from the University of Chicago. Before joining Microsoft Research, Sharad completed postdoctoral positions in the math departments at Stanford University and the University of Southern California.

Jake Hofman is a Researcher at Microsoft Research and an Adjunct Professor of Applied Mathematics at Columbia University. His work involves data-driven modeling of complex systems, focusing on applications of machine learning and statistical inference to large-scale social data. He has designed and taught classes on a number of topics ranging from biological physics to applied machine learning. He holds a B.S. in Electrical Engineering from Boston University and a Ph.D. in Physics from Columbia University.

Sergei Vassilvitskii is a Senior Research Scientist at Google and an Adjunct Professor of Computer Science at Columbia University. He received his M.S. and Ph.D. in Computer Science from Stanford University and a B.S. from Cornell University. He works on problems at the intersection of economics, data mining and computer science. He has published more than 50 scientific publications and holds a number of US Patents.