My name is Kevin, and I’m currently a first-year PhD student at Carnegie Mellon University advised by Professor Amir Farimani. Previously, I worked at JPMorgan Chase’s Commecial Bank AI team on LLMs as well as Lawrence Berkeley National Labs. I graduated from UC Berkeley with a Bachelor’s in Computer Science. There, I was fortunate enough to have worked with Professor Gerbrand Ceder and Bowen Deng on CHGNet and large scale inference for machine learning interatomic potentials (paper coming soon).

My research interests lie primarily in using AI for materials and drug discovery and automated scientific discovery. I come primarily from a machine learning background as opposed to a chemistry or biology background. My research related experiences involve Pytorch, Cython, performance programming with C, and CUDA.

I also enjoy general full stack software engineering and LLMs and have experience building large scale software systems for startups I’ve worked on in the past or for the UC Berkeley EECS Department.

If you have any questions regarding Berkeley, CMU, finding internships/research, or general life stuff, feel free to email me at kevinhan@cmu.edu!