Hwanwoo Kim

I am a fifth-year Computational and Applied Math PhD student at the University of Chicago, advised by Prof. Daniel Sanz-Alonso. I also work closely with Prof. Panos Toulis.

My research interests lie in developing theoretical understanding and methodological tools for Bayesian/probabilistic modeling, and optimization strategies for problems arising from experimental design, statistical inverse problems and transfer learning. I am also keen to utilize existing statistical/computational tools to tackle scientific problems arising from social and biomedical sciences.

I am on the job market this year and looking for academic research positions starting summer 2024.

Research Keywords:

• Bayesian Inference, Gaussian Process
• Bayesian/Blackbox/Stochastic Optimization
• Bandit Algorithms, Sequential Experimental Design
• Domain Adaptation, Distribution Shift