I am a PhD student at NYU working with Prof. Rajesh Ranganath on methods for causal inference. My primary reserach interest is data-driven decision making with applications in healthcare and biology. I’m also excited by optimization theory as it applies to modern ML and RL. Here’s my CV.
- July’19. Generalized Control Functions via Variational Decoupling up on arXiv.
- Oct’18. Removing Hidden Confounding by Experimental Grounding in NeurIPS 2018.
Previously, I worked as a Software Developer at DBMI, Columbia University. In 2017, I completed my MS in CS, also at NYU. I was introduced to causal inference in the Clinical Machine Learning group, where I worked with two amazing mentors, Prof. Uri Shalit and Prof. David Sontag. My fateful but fun undergrad was from IIT Madras, where I was enrolled in the EE department.
I’m eternally excited about new ideas! Shoot me an email if you want to chat!