Department of Computer Science and Engineering
The Pennsylvania State University
I am a 4th-year Ph.D. student in the Theoretical Computer Science Group at the Department of Computer Science and Engineering, Pennsylvania State University. My
interest areas include differential privacy, machine learning, deep learning, and graph theory. I am very fortunate to be advised by Dr. Adam Smith.
Before joining Penn State, I completed my undergraduate studies in 2014 from DA-IICT, India.
Fall 2017: I am a Visiting Student Researcher at UC Berkeley, working with Dr. Dawn Song on private learning.
Summer 2017: I worked with Brendan McMahan and Martin Pelikan on using adaptivity for differentially private federated learning without hyperparameter tuning, while interning at Google.
Summer 2016: I worked on designing and developing scalable differentially private recommender systems, while interning in the Machine Learning Group at Apple.
August 2015: My report on Node-differentially Private Algorithms for Graph Statistics. It includes joint work with Ramesh Krishnan.
My most recent resume (last updated in October, 2017) can be found here.