My name is Haoyang (pronounced as “Hau Yeung”). I am currently a PhD candidate at the School of Mechanical Engineering, Purdue University, advised by Prof. Guang Lin.

My research topics lie at the intersection of machine learning, dynamical systems, and computational physics. I focus on the use of computational and analytical tools from differential equations — including ODEs, PDEs, and SDEs — to address complex challenges in machine learning.

Research Interests

• Reinforcement Learning (Thompson Sampling)
• Markov Chain Monte Carlo
• Data Driven Modeling
• Uncertainty Quantification
• Physics-Informed Neural Networks
• Applied Mathematics
• AI for Science

News

• [Sep/2024] Student Travel Award at 2024 Mathematical and Scientific Foundations of Deep Learning Annual Meeting
• [Aug/2024] Student Travel Award at 2024 SIAM Conference on Mathematics of Data Science (MDS24)
• [Jul/2024] Gave a talk at the Crunch Seminar, Brown University
• [May/2024] 1 paper was accepted by ICML 2024
• [Apr/2024] Passed the preliminary exam and became a Ph.D. candidate
• [Apr/2024] Student Travel Award at the ICERM workshop about Nonlocality and Interacting Particle Systems
• [Jan/2024] 1 paper was accepted by AISTATS 2024
• [Dec/2023] 1 paper was accepted by Journal of Computational Physics
• [Sep/2023] Student Travel Award at 2023 Mathematical and Scientific Foundations of Deep Learning Annual Meeting
• [May-Jul/2023] Givens Associates at Argonne National Laboratory
• [Sep/2022] 1 paper was accepted by NPJ Digital Medicine

Services

Reviewers: ICLR, ICML, NeurIPS, AISTATS

Contact

• lastname+528 at purdue dot edu
• 516 Northwestern Ave, West Lafayette, IN 47906