About Me

I am a final-year Ph.D. candidate in National University of Singapore (NUS), School of Computing. I am advised by Prof. Harold Soh under CLeAR Lab. My doctoral research focuses on egalitarian resource allocation problems. To address these challenges, I apply tools from complexity theory, algorithm design, mathematical optimization, and multi-armed bandits to develop approximation algorithms for NP-complete problems and to maximize welfare under partial information when agents’ valuations are unknown.

Technically, I am proficient in Python and have some experience with C++17/20. I am also familiar with data science frameworks including pandas, scikit-learn, and PyTorch, having utilized them in my earlier research in machine learning. Complementing my research background, I possess a good foundation in core computer science principles essential for software development, including operating systems, computer networks, and concurrency.

Beyond research, I have designed teaching materials and delivered lectures on machine learning courses (CS3244, CS3264, CS5340), placing myself in the NUS SoC Honor List of Student Tutors multiple times, and earning recognition via the NUS SoC Teaching Fellowship.