Lalit Jain

UW Computer Science and Engineering

UW Mentor:

Kevin Jamieson

Education:

University of Wisconsin-Madison, Madison, Wisconsin USA
Ph.D., Mathematics, August 2016
Dissertation Topic: “Big Mod ℓ Monodromy of Families of G-Covers”
Advisor: Jordan Ellenberg
Minor: Computer Science

University of Waterloo, Waterloo, Ontario Canada
Masters of Mathematics in Pure Mathematics, May 2008
Thesis: “Koblitz’s Conjecture for the Drinfeld Module”
Advisors: Yu-Ru Liu and Wentang Kuo

University of Waterloo, Waterloo, Ontario Canada
Bachelors of Mathematics in Pure Mathematics, December 2006
Minor in Combinatorics and Optimization, Graduated with Honors and Distinction

Research Description:

Lalit K. Jain is a postdoctoral researcher at the University of Washington in the Paul G. Allen School of Computer Science and Engineering working with Kevin Jamieson. His research is focused on the theory and implementation of machine learning algorithms for large-scale data collection with an emphasis on ”human in the loop” and crowdsourcing applications.

His work has been applied to a variety of applications including optimizing crowdfunding and microlending platforms, measuring conceptual perception in cognitive psychology, and detecting humor. Prior to coming to the University of Washington, he did a postdoc at the University of Michigan and his PhD was in Mathematics at the University of Wisconsin-Madison advised by Professor Jordan Ellenberg and Professor Robert Nowak.