I have joined Department of Computer Science at University of California Santa Cruz as an Assistant Professor in January 2017. Please email me if you are interested in working with me.
Until recently, I was Apple Inc. as a Senior Machine Learning Scientist. Prior to that I was a research scientist Yahoo Labs! Sunnyvale. I finished my post-doctoral appointment at Stanford University and Microsoft Research, hosted by Dr. Cynthia Dwork [Microsoft Research] and Prof. John Mitchell [Stanford University]. I have graduated from the Theory group at Pennsylvania State University. My doctoral advisor was Prof. Adam D. Smith.
I am primarily interested in statistical data privacy and its relation to machine learning and data mining. More precisely, I study the privacy implications in problems spanning the areas of high-dimensional statistics, risk minimization, online learning and pattern mining. Usually studying the privacy implications result in analyzing the algorithmic stability of existing learning algorithms. Recently, I have been also interested in studying the interrelation between various privacy notions and their practical implications, and property testers robust to erasures, deep machine learning and algorithmic game theory.
My formal training has been in theoretical computer science, but I am equally interested in the theory and system building aspects of large scale deployment of private learning algorithms.
I got my undergraduate degree (B.Tech) in Electrical and Electronics Engineering from National Institute of Technology Karnataka, Surathkal in 2007. Immediately after my graduation in 2007, I joined SQL Compact group in Microsoft India Development Center and worked there till June, 2008.