I’m a 5th year PhD Candidate in Chemical Engineering at University of Wisconsin-Madison advised by Dr. Joel Paulson. My research interest lies in Bayesian Optimization, Gaussian processes, decision-making under uncertainty, deterministic global optimization, and Process System Engineering.

I received my BS and MS in Chemical Engineering at National Taiwan University, where I was advised by Dr. Jeffrey Ward.

Bulletin

• Our preprint An Efficient Spatial Branch-and-Bound Algorithm for Global Optimization of Gaussian Process Posterior Mean Functions is available on arxiv now.
• Our paper Rethinking Trust Region Bayesian Optimization in High Dimensions has been published at the AISTATS 2026 Workshop OPTIMAL.
• Our paper NeST-BO: Fast Local Bayesian Optimization via Newton-Step Targeting of Gradient and Hessian Information has been published at AISTATS 2026.