About Me
I am a Senior AI Researcher at Chan Zuckerberg Biohub. I work with members of the AI Engineering and Evolutionary Scale teams on designing efficient training pipelines for large scientific foundation models. Broadly, my research interests are in AI for Science, where I work on designing and training multimodal foundation models for protein and genomic prediction tasks. Earlier, I worked on methods for modeling medical data to advance drug discovery, EHR data modeling, medical time series, and medical Q&A agents.
Previously, I was a Researcher in the AI Research Group (AIRG) at Lawrence Livermore National Laboratory; a Postdoctoral Scholar at the Paul G. Allen School of Computer Science, University of Washington, where I worked with Tim Althoff; an AI Scientist at IBM Research; and also held positions as an Applied Scientist Intern at Amazon and an R&D Intern at Siemens. I have been the AI lead for several projects sponsored by the U.S. Department of Energy. My work has been featured in multiple media outlets, including IBM blogs, and recognized as "One of the biggest revelations of 2024". I was IIT Delhi's nominee for the ACM SIGKDD and ACM Doctoral Dissertation Awards, featured on IndiaAI by the Ministry of IT, Government of India, was a runner-up in NASSCOM's AI Gamechangers of India, and received the Outstanding Doctoral Paper Award at the conference on AI-ML Systems.
A full list of my publications is available on my Google Scholar profile.