01 / Research

Research interests

Bayesian nonparametric modeling

Kernel-based modeling of binomial and multinomial probabilities, with conjugate updating and practical uncertainty quantification.

Bayesian optimization

Surrogate modeling and exact-penalty methods for expensive black-box optimization under constraints.

Clinical trial design

Bayesian dose-finding and phase I/II platform designs, including information borrowing and time-to-event outcomes.

Statistical computing

Reproducible methods and R software that connect statistical methodology with usable implementations.