PIC Assistant Adjunct Professor (Postdoc), Department of Mathematics, University of California, Los Angeles, 2018–2022.
Hosted by Dr. Wotao Yin
Ph.D. in Applied Mathematical and Computational Sciences, The University of Iowa, 2018.
Advisors: Dr. Jian-Feng Cai (Math) and
Dr. Weiyu Xu (ECE) M.C.S. in Computer Science, The University of Iowa, 2017. M.S. in Mathematics, The University of Iowa, 2014.
Research Interests
My primary research interests lie in the theoretical and algorithmic foundations of mathematical optimization, data science, machine learning, and artificial intelligence. I am also deeply interested in data-driven knowledge discovery with the potential for broad societal impact. My current research directions include:
Theoretical frameworks for the foundational tools for large-scale high-dimensional data analysis.
Provably robust and efficient non-convex optimization methods for large-scale high-dimensional problems in machine learning, signal processing, and image science.
Data-driven discovery of societally impactful knowledge from real-world time-series datasets.
Query- and computation-efficient zeroth-order/derivative-free optimization methods, with large-scale applications in adversarial attacks and reinforcement learning.
Deep-learning augmented optimization and algorithm discovery techniques for inverse problems.
One of my forthcoming research directions is:
Mathematics-driven designs for the high-performance pre-training, fine-tuning, and architecture of foundation models.
