About me

I am a Postdoctoral Scholar in the School of Mathematics at Georgia Institute of Technology working with Prof. Wenjing Liao. Previously, I obtained my Ph.D. in Mathematics under the supervision of Prof. Ming-Jun Lai at University of Georgia. I also obtained a M.S. in Computer Science with Prof. Sheng Li (University of Virginia).  

My research interests are foundational AI, deep learning theory for transformers, graph-based learning and clustering, manifold learning, mathematics of data science.

Click here for my CV and Google Scholar page. My Erdös number is 2.

Recent Events

• Co-organized a minisymposium and presented at the SIAM Annual Meeting, Cleveland, OH, 07/2026

• Presented at the 9th International Conference on Computational Harmonic Analysis, Vanderbilt University, Nashville, TN, 05/2026

• Presented at SIAM Conference on Uncertainty Quantification, Minneapolis, MN, 03/2026

• Presented at the AMS Spring Western Section Meeting, Boise State University, 03/2026

• Presented at the Dynamics Days US, University of Arizona, 01/2026

• Recipient of the SIAM Postdoctoral Support Program, 12/2025

• Presented at the CBMS Conference: Research at the Interface of Applied Mathematics and Machine Learning, University of Houston, 12/2025

• Presented at the Conference of Topology, Algebra, and Geometry in Data Science (TAG-DS), UC San Diego, 12/2025

• Co-organized a minisymposium and presented at the SIAM Central States Section Meeting, University of Arkansas, Fayetteville, 10/2025

• Participated at the Research Collaboration Workshop in Science of Data and Mathematics (WiSDM) Conference, UNC Chapel Hill, 08/2025

• Presented at the IPAM Workshop on Sampling, Inference, and Data-Driven Physical Modeling in Scientific Machine Learning, UCLA, 07/2025

• Presented at the MINDS Seminar, UC San Diego, 05/2025

Employment

• Visiting Assistant Professor, Georgia Institute of Technology, 08/2024 - present