With a broad interest in applying AI to science and engineering problems, I am currently focusing on machine learning-assisted protein engineering as a Bioengineering Ph.D. student at Caltech co-advised by Frances Arnold and Yisong Yue. My current project is on multi-modal representation learning for predicting top protein fitness from site-saturation mutagenesis libraries. I have also worked with Kevin K. Yang, Alex X. Lu, and Ava P. Amini through my summer internship at Microsoft Research New England on Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models which is now accepted to ICML 2024.

During and shortly after my time at the University of California, Berkeley obtaining my B.S. in Bioengineering and B.S. in Chemical Biology, I worked on RNA-seq software tool development at Zymergen, genetic circuit component discovery with Richard Murray, cancer immunotherapy and SARS-CoV-2 antibody therapeutics development at NYU Langone Health with Shohei Koide, cell-free platform optimization at Tierra Biosciences, and hands-on wetlab metabolic engineering and synthetic biology tool building projects at the Dueber Lab.

Outside of research, I most enjoy being active outdoors, experiencing diverse cultures, solving fun puzzles, and doing minimalism iPhoneography. Given my personal background and journey, I strive for providing equitable opportunity and individualized education, especially in STEM, through mentoring, teaching, and outreach volunteering.

Download my resumé .