Rongrong Wang

Rongrong Wang serves as Associate Professor in both the Department of Computational Mathematics, Science and Engineering (CMSE) and Department of Mathematics at Michigan State University, based in the Engineering Building with contact email wangron6@msu.edu.

Her academic journey includes:

• B.S. in Mathematics and B.A. in Economics from Peking University, Beijing
• Ph.D. in Applied Mathematics from University of Maryland College Park under John Benedetto and Wojciech Czaja
• Postdoctoral fellowship at University of British Columbia with Ozgur Yilmaz and Felix Herrmann

Her research spans Applied and Computational Harmonic Analysis, Machine Learning, and Compressed Sensing with focus areas including neural network training dynamics, learning theory, tensor analysis, and inverse problems. She investigates theoretical foundations of deep learning while developing applications for medical imaging and signal processing.

Recent publications (2024-2025) demonstrate strong interdisciplinary work at the intersection of deep learning theory and medical imaging, particularly exploring edge-of-stability phenomena in neural networks and diffusion-guided reconstruction techniques. Her work also advances tensor decomposition methods and in-context learning mechanisms in language models.

Professor Wang actively recruits self-motivated graduate and undergraduate students with backgrounds in mathematics, computer science, or electrical engineering for research opportunities in her lab.