I am a research scientist in the Machine Learning and Optimization Group at Microsoft Research Redmond.
In Fall 2018 I was the VMware Research Fellow at the Simons Institute. I did my Ph.D at MIT, where I was fortunate to work with Ankur Moitra. I also did my masters at MIT under the wonderful supervision of Nir Shavit.
My primary research interests are in how to make machine learning algorithms scalable and reliable, in a principled manner. My goal is to leverage mathematical insights to improve robustness of real-world ML systems. I am also more generally interested in learning theory and distributed algorithms.