I am a PhD candidate in Computer Science at UC Berkeley working on Computer Vision and Machine Learning. I am part of Berkeley AI Research Lab (BAIR) advised by Prof. Trevor Darrell.

I am interested in learning complex data manifolds by Generative Adversarial Networks (GANs). I develop algorithms to improve the performance of such networks specifically in learning the distribution of structural and compositional visual domains. Besides pushing for theoretical advancements in GANs, I am also excited about its artistic applications leading to new collaborative tools across art and computer science.

During my PhD, I have spent time at Google Brain (with Ian Goodfellow and Augustus Odena ) and Adobe Research (with Matthew Fisher ). Earlier, I had the pleasure to work with Pieter Abbeel and Suvrit Sra while I was a visiting researcher at UC Berkeley.