JunJie Wee

Bio

• I am currently a Visiting Assistant Professor in the Department of Mathematics at Michigan State University working with Prof. Guo-Wei Wei. I was previously a Ph.D. candidate at NTU advised by Prof. Kelin Xia on my thesis Geometric and Topological AI for Molecular Sciences. I studied the discrete Ricci curvature and discrete Hodge Laplacian, and applied them to analyse chemical and biological systems. Prior to my Ph.D., I completed my B.Sc. (with Honours) in Mathematical Sciences (with specialization in Applied Mathematics) at NTU, where my honours dissertation on the Korenblum Maximum Principle was completed under Assoc. Prof. Le Hai Khoi.

Illustration of the workflow for predicting deep mutational scanning (DMS) of SARS-CoV-2 S protein RBD-ACE2 complexes using topological deep learning. [Paper, Poster]

Research Interests

Mathematical Biosciences

• Mathematical AI for Molecular Sciences
• AI methodologies for in-silico deep mutational scanning

Complex Analysis and Operator Theory

• Korenblum Maximum Principle for some function spaces
• Operators acting on spaces of holomorphic or entire functions