Prospective employers: I am on the job market for positions in Singapore starting Aug 2024 and later! You may find my CV here.

Education

I am a 4th year computer science PhD student at National University of Singapore (NUS) working with Bryan Low Kian Hsiang and co-advised by Foo Chuan Sheng at A*STAR. I am a recipient of the A*STAR Computing and Information Science scholarship. I am currently a visiting student at the Laboratory for Information and Decision Systems at Massachusetts Institute of Technology (MIT), hosted by Patrick Jaillet.

Research

My main research interest is adaptive experimental design, specifically via Bayesian optimization. My research intersects machine learning, probability, and optimization, and I hope to apply these techniques to solve real world problems of significance.

Publications

• A Unified Framework for Bayesian Optimization under Contextual Uncertainty (ICLR-24) (to be published soon!)
• Bayesian Optimization with Cost-varying Variable Subsets (NeurIPS-23)
• No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities (AISTATS-23)
• Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity (ICML-22)
• Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards (AAAI-22)
• Top-k Ranking Bayesian Optimization (AAAI-21)

Alternatively, check out my Google Scholar page.