Graduate Student
Department of Computer Science and Engineering
The Pennsylvania State University
Short Bio
I am a 3rd-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, 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.
News
I worked on designing and developing scalable differentially private recommender systems while interning in the Machine Learning Group (CoreOS team) at Apple during Summer 2016.
August 2015: My report on Node-differentially Private Algorithms for Graph Statistics. It includes joint work with Ramesh Krishnan.
Resume
My most recent resume (last updated in January, 2017) can be found here.
A brief introduction to Concentrated Differential Privacy, on April 14, 2017 @ CSE Theory Seminar, Penn State.
Max-Information, Differential Privacy, and Post-selection Hypothesis Testing
on November 7, 2016 @ CSE Theory Seminar, UCSD.
on October 14, 2016 @ CSE Theory Seminar, Penn State.
Max-Information and Differential Privacy, on May 5, 2016 @ CSE Theory Seminar, Penn State.
The Stable Roommates Problem with Random Preferences, on April 10, 2015 @ CSE Theory Seminar, Penn State.
The Multiplicative Weights Update Method and an Application to Solving Zero-Sum Games Approximately, on November 3, 2014 @ CSE Theory Seminar, Penn State.
Teaching
Teaching assistant:
CMPSC 465 Data Structures and Algorithms, Spring 2017 @ Penn State.