Biography
Shaocong Ma is a postdoctoral researcher at UMIACS, working under the supervision of Professor Heng Huang. He received his Ph.D. in Electrical and Computer Engineering from the University of Utah, where he was advised by Professor Yi Zhou. Previously, he completed an M.A. in Statistics at the University of California, Santa Barbara, and earned his B.S. in Statistics at Sichuan University.
For more information, refer to his CV or research statement.
📊 Research Interests
Optimization & RL Theory
I develop robust, efficient, and scalable algorithms for reinforcement learning and large-scale optimization. I am to rigorously characterize the statistical and computational complexities inherent in these algorithms.
AI for Science
I collaborated with Lawrance Livermore National Laboratory on integrating deep learning with traditional scientific computing software. I am extending this line of research to tackle non-differentiability issues in scientific world with other scientists at UMD.
🔥 News
- 2025.02: One paper selected as a spotlight by ICLR 2025!
- 2024.06: Joined UMD as a postdoctoral researcher.