Hi, I'm Matt!

As of May 2020, I am a researcher at Two Sigma. Before that, I completed my Ph.D. at MIT in the EECS Department, where I was advised by Professor Stefanie Jegelka. My Ph.D. research focused on optimization (convex, submodular, robust, nonconvex, etc.) for machine learning.

I spent summer 2018 at Google NY working with Sashank Reddi, Satyen Kale, and Sanjiv Kumar. Before coming to MIT, I was at Stanford, where I graduated in 2015 with an M.S. in Electrical Engineering and a B.S. in Mathematics. I also spent summer 2014 at Microsoft Research Asia in Beijing, working with Thomas Moscibroda and Nic Lane.

* indicates equal contribution.

mstaib [at] mit [dot] edu