About Me

I am currently a Physical AI Postdoc Fellow at Purdue University, supervised by Dr. Guang Lin and Dr. Ruqi Zhang. Prior to Purdue, I was a postdoc in the Department of Computer Science at Vanderbilt University (2022-2025), supervised by Dr. Soheil Kolouri, my academic advisor. I received my Ph.D. in Electrical and Computer Engineering from the University of Delaware in 2022, where I studied machine learning and statistics under the guidance of Dr. Dominique Guillot.

Current Research Interests

• Generative Models: Flow matching and diffusion models, with emphasis on probability-path design, transport dynamics, and scalable sampling for high-dimensional and non-Euclidean data.
• Reinforcement Learning: RL post-training, reasoning, and generative-model fine-tuning for controllable and reliable generation.
• Geometric / Mathematical Machine Learning: Geometry-aware learning and non-Euclidean generative models, including optimal transport and structure-aware modeling.