I am a CS PhD candidate at the University of Southern California, advised by Prof. Vatsal Sharan of the USC CS Theory Group. I am also fortunate to work closely with Prof. Christos Thrampoulidis and Prof. Mahdi Soltanolkotabi, and intern with Hidenori Tanaka’s group, co-affiliated with PHI, NTT and CBS, Harvard.

My research focuses on making foundational advances to improve our understanding of deep learning-based systems and making them more reliable and trustworthy. I use both theoretical tools and empirical insights to analyze the optimization and generalization dynamics of ML models, improve their robustness to distributional shifts, and, more recently, develop faithful abstractions of ML model behavior.

I graduated from IIT Roorkee with a bachelor’s in ECE, where I worked on generative adversarial network-based methods for compressive sensing MRI reconstruction. I also interned at Northwestern University as an SN Bose Scholar in the summer of 2019.

In my free time, I enjoy being outdoors, hiking, swimming and reading.

Email: bvasudev [at] usc [dot] edu