Biography

Welcome to my website!

I am a Phd Candidate at the Chern Institute of Mathematics of Nankai University under the supervision of Prof. Huitao Feng and Prof. Kelin Xia. My research interests include Topological and Geometric data Analysis, Machine learning, Deep learning and Mathematical AI. Particularly, I focus on using mathematical methods from topology and geometry to build mathematical AI models, and apply the mathematical AI models to real applications in molecular science.

Interests
  • Topological and Geometric data Analysis
  • Machine and Deep Learning
  • Mathematical AI
Education
  • Ph.D in Mathematics, 2021-present

    Chern Institute of Mathematics, Nankai University

  • M.S in Mathematics, 2017-2020

    School of Mathematical Sciences, Nankai University

  • B.E in Software Engineering, 2013-2017

    College of Software, Jilin University

Experience

 
 
 
 
 
School of Physical and Mathematical Sciences, Nanyang Technological University
Joint Phd Student, in Prof. Kelin Xia’s group
School of Physical and Mathematical Sciences, Nanyang Technological University
November 2023 – Present Singapore
 
 
 
 
 
Yanqi Lake Beijing Institute of mathematical sciences and applications (BIMSA)
Visiting Scholar, in Prof. Jie Wu’s group
Yanqi Lake Beijing Institute of mathematical sciences and applications (BIMSA)
August 2022 – October 2023 China
 
 
 
 
 
Center for Topology and Geometry based Technologies, Hebei Normal University
Visiting Research Fellow, in Prof. Jie Wu’s group
Center for Topology and Geometry based Technologies, Hebei Normal University
September 2020 – September 2021 China
 
 
 
 
 
School of Physical and Mathematical Sciences, Nanyang Technological University
Visiting Student, in Prof. Kelin Xia’s group
School of Physical and Mathematical Sciences, Nanyang Technological University
December 2019 – July 2020 Singapore

Publications

(2023). The metabolomic physics of complex diseases. The Proceedings of the National Academy of Sciences (PNAS), 120(42), e2308496120.

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(2023). Multiscale Topological Indices for the Quantitative Prediction of SARS CoV-2 Binding Affinity Change upon Mutations. Journal of Chemical Information and Modeling, 63(13), 4216-4227.

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(2023). Persistent Homology for RNA Data Analysis. Homology Modeling: Methods in Molecular Biology, 2627:211-229.

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(2023). Persistent Tor-algebra for protein–protein interaction analysis. Briefings in Bioinformatics, 24(2) 2023;, bbad046.

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(2023). Persistent Path-Spectral (PPS) Based Machine Learning for Protein–Ligand Binding Affinity Prediction. Journal of Chemical Information and Modeling 63(3), 1066-1075.

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Talks

Invited Speaker
BIMSA workshop on digraph topology and GLMY theory.
Invited Speaker
Advances in Homotopy Theory IV

Contact

SPMS, Nanyang Technological University