Wee JunJie

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.

30th Nov 2022	Best Poster Award for "Mathematical AI for Molecular Sciences" (ICMMA2022 International Conference on "Topology and its Applications to Engineering and Life Science" 「トポロジーとその工学，生命科学への応用」)
10th Oct 2022	Mathematical AI Methods Supercharge the Search for Perovskite Materials (Science@NTU)
26th Sep 2022	The 2nd POSTECH MINDS Workshop on TDA and Machine Learning (Link)
22nd Sep 2022	Topological feature engineering for machine learning based halide perovskite materials design is published in npj Computational Materials (Link)
25th Jul 2022	Applied Geometry for Data Sciences, Mathematical Science Research Center, Chongqing University of Technology (Link)
18th Jul 2022	Applied Topology in Frontier Sciences, IMS, National University of Singapore (Link)
12th Jul 2022	Mini-symposium "Molecular Biosciences: Modeling for Sequence and Structure-Based Molecular Analysis" at SIAM Conference on Life Sciences, Pittsburgh, Pennsylvania (Link)