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Resume (English only)
Academic Achievements
Published multiple papers, including but not limited to:
- 'Topological Data Analysis and Topological Deep Learning Beyond Persistent Homology - A Review' (preprint)
- 'Manifold Topological Deep Learning for Biomedical Data' (preprint)
- 'Artificial intelligence approaches for anti-addiction drug discovery' (published)
- 'Topology-preserving Hodge Decomposition in the Eulerian Representation' (published)
- 'Persistent de Rham-Hodge Laplacians in Eulerian representation for manifold topological learning' (published)
- 'Hodge decomposition of vector fields in Cartesian grids' (SIGGRAPH Asia 2024 Conference Papers)
- And several other journal and conference papers.
Research Experience
Previously a research associate at Michigan State University, working with Guowei Wei; held a postdoc position at the University of California, Los Angeles, where he worked with Shantanu Joshi.
Education
PhD from Florida State University, supervised by Eric Klassen and Martin Bauer.
Background
Currently an Assistant Professor at Auburn University. Research interests include Differential Geometry, Topological and Geometric Data Analysis, Shape Analysis, Data Science, and Machine Learning/Deep Learning. Aims to develop mathematical frameworks to address interdisciplinary problems in mathematics, data science, and machine learning.