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.
Research Interests
My research interests overlap between mathematical biosciences, data science, and artificial intelligence (AI), with an emphasis on applying advanced mathematical frameworks—such as commutative algebra, topology, and differential geometry—to address challenges in molecular biology, materials design, drug discovery, protein engineering and virology. Read more about my research →
10th Oct 2022Mathematical AI Methods Supercharge the Search for Perovskite Materials (Science@NTU)
26th Sep 2022The 2nd POSTECH MINDS Workshop on TDA and Machine Learning (Link)
22nd Sep 2022Topological feature engineering for machine learning based halide perovskite materials design is published in npj Computational Materials (Link)
25th Jul 2022Applied Geometry for Data Sciences, Mathematical Science Research Center, Chongqing University of Technology (Link)
18th Jul 2022Applied Topology in Frontier Sciences, IMS, National University of Singapore (Link)
12th Jul 2022Mini-symposium "Molecular Biosciences: Modeling for Sequence and Structure-Based Molecular Analysis" at SIAM Conference on Life Sciences, Pittsburgh, Pennsylvania (Link)