Terry (Taehan) Kim

Hi! I’m Terry (Taehan) Kim, an incoming Ph.D. student in EECS at MIT. During my undergraduate studies at UC Berkeley, I broadly explored AI4Science, including AI drug discovery, biological structure prediction, and interpretability.

My long-term goal is full-stack acceleration for science: building AI systems that support discovery across infrastructure, modeling, and interpretation. On the infrastructure side, I am currently working on interpretable and generative methods for inverse design for silicon photonics, which I believe could become a core direction for the next wave of AI infrastructure and data centers. On the modeling side, I am interested in efficient architectures for scientific data; on the interpretation side, I aim to develop reliable and interpretable methods for biology.