I am a final-year Ph.D. candidate in Computer Science at Stanford University advised by Stefano Ermon. My research focusses broadly on probabilistic machine learning, including topics in generative modeling, approximate inference, and deep learning. I am particularly excited in grounding my research via applications relating to scientific discovery and sustainable development.

My research is supported by a Microsoft Research Ph.D. Fellowship, a Lieberman Fellowship, and a Data Science Scholarship. I am also a Teaching Fellow at Stanford since 2018, where I co-designed and teach a new class on Deep Generative Models. Before joining Stanford, I obtained my bachelors in Computer Science and Engineering from IIT Delhi (2015). During my Ph.D., I have also spent wonderful summers interning at Google Brain (2019), Microsoft Research (2018), and OpenAI (2017).

I grew up in various parts of India before moving to the US. In my free time, I like to play tennis, social dance, hike, and practice card tricks.