Hi, I'm Matt!

I am Matthew Staib, a fourth year Ph.D. student in CSAIL advised by Professor Stefanie Jegelka. I work 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