Gautam KamathOffice: DC 3124 (currently empty) Cell: 657-c0mpsci (657-206-7724) (currently inactive) Email: ?@csail.mit.edu, but replace ? with the first letter of my first nameLinks to: CV (as of December 2020); Google Scholar; DBLP; arXiv; GitHub; Twitter; Youtube; Blog. My lab is The Salon. Feel free to send me comments anonymously here. Note that, by design, I won't be able to respond -- if you need me to, it's better handled via email, or leaving some way for me to reply. I am unable to respond to requests for internships or graduate admission applications from outside the university. If you do feel compelled to contact me in this way, I am far more likely to remember you if you demonstrate that you have genuinely engaged with my work. Instead, I recommend that you apply for graduate studies through the standard channels. |
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I am an Assistant Professor at the University of Waterloo's Cheriton School of Computer Science, and a faculty affiliate at the Vector Institute.
I run The Salon.
I'm interested in principled methods for statistics and machine learning, with a focus on settings which are common in modern data analysis (primarily privacy and robustness).
I was a Microsoft Research Fellow at the Simons Institute for the Theory of Computing for the Fall 2018 semester program on Foundations of Data Science and the Spring 2019 semester program on Data Privacy: Foundations and Applications.
Before that, I completed my Ph.D. at MIT, affiliated with the Theory of Computing group in CSAIL.
I was very fortunate to be advised by Costis Daskalakis.
Before MIT, I spent four wonderful years at Cornell University, graduating in May 2012 with a degree in Computer Science and Electrical and Computer Engineering.
At Cornell, I was incredibly lucky to have the opportunity to work with Bobby Kleinberg.
I really enjoy giving talks and communicating my work!
Please don't hesitate to ask if you'd like to hear about it.