About
I am a fifth-year Ph.D. candidate in Applied Mathematics at the Illinois Institute of Technology, where I am advised by Prof. Chun Liu and Prof. Ming Zhong (University of Houston). I received my B.Sc. in Computing Mathematics (First Class Honours) from City University of Hong Kong, with a minor in Computer Science.
My research focuses on inverse problems and scientific machine learning (SciML) for complex dynamical systems, with an emphasis on learning hidden mechanisms from incomplete or indirect observations by exploiting mathematical and physical structure. I also work on the mathematical modeling and analysis of multiscale nonlinear systems, including interacting particle systems and PDEs, with applications in biological, physical, and social sciences.
Research
View all research →Scientific Machine Learning & Inverse Problems
Using mathematical and physical structure to learn and understand complex dynamical systems from data.
Interacting Particle Systems
Learning collective dynamics and interaction structures in particle systems.
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Social Dynamics
Discovering hidden crime dynamics from data.
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Ion Transport
Structure-preserving inference of physical mechanisms in ion transport.
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PINNs
Stable and structure-exploiting PINNs for dynamical systems.
View research →Multiscale Modeling & Nonlinear PDEs
Variational modeling, analysis, and computation of nonlinear PDEs arising in multiscale physical and complex systems.
Social Dynamics
Multiscale modeling and computation of urban crime dynamics.
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Ion Transport & PNP Systems
Energetic variational modeling and analysis of nonlinear ion-transport systems with steric and drag effects.
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Phase-Field & Complex-Fluid Modeling
Thermodynamically consistent modeling of interfaces, complex fluids, and contact-line dynamics.
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