About / Bio
I am a Postdoctoral Scholar in the Computer Science Department at the University of California, Davis, working with Prof. Prasant Mohapatra. Prior to this, I received my PhD Degree in Computer Science from UC Davis in September 2023, also advised by Prof. Mohapatra. My research primarily focuses on improving Machine Learning (ML) models to further facilitate their adoption into society by analyzing and improving model robustness along two dimensions: (i) adversarial robustness (adversarial attacks/defenses against learning models) and (ii) social robustness (fair machine learning and trustworthy AI).
I am also interested in other applied and related problems such as (i) designing learning based debiasing interventions for social media platforms (YouTube/Twitter, among others) and (ii) ML based approaches for improving networked systems.
10/15/2022: I was invited to give a seminar talk on Robust Clustering at Brandeis University, Boston by Prof. Hongfu Liu
9/17/2021: Our survey paper on fairness in clustering was accepted for publication in IEEE Access [pdf]
1/25/2019: Invited to talk about our research on adversarial attacks against clustering at Uber AI in SF by Ryan Turner