I am a fourth-year Ph.D. student in Computer Science at the University of Arizona, where I am fortunate to be mentored by Dr. Kwang-sung Jun. My academic journey has encompassed a diverse range of disciplines, as I hold degrees in Mathematics and Electrical Engineering as well.
My research primarily focuses on the multi-armed bandit problem. I approach this problem from both theoretical and practical angles. On the theoretical side, I delve into aspects like sample complexity analysis. In practical terms, my work involves tasks such as efficient data collection and adaptive experiment design, which contribute to real-world applications of the problem.
Machine learning, bandit problem, mathematical optimization
What long-term project do you want to work on?
I am always interested in various provable algorithm design.
What do you enjoy most about your work?
Making a decision when facing the uncertainties (the philosophy behind the bandit problem).
What are your career goals?
I hope my professional career can find a balance between the theoretical niche and the practical value.
Tell us something interesting about yourself!
I'm on a mission to be the top chef among computer scientists.