Postdoctoral Researcher at UC Berkeley and Berkeley Lab, focusing on generative AI (LLMs and diffusion models) and universal Machine Learning Potential for material discovery. His research interests include using deep learning models, quantum mechanical models, statistical mechanics, and high-performance computing to address global challenges.
Miscellany
Broad interests include AI, ML, Quantum Physics/Chemistry, Quantum Computing, and HPC. Applications: Drug Design, Material Discovery, Quantum Physics/Chemistry.