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A brief CV
Research interests
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Mathematical modeling and applied analysis
(PDEs/the calculus of variations, dynamical systems, and stochastic processes),
scientific computing and numerical analysis (numerical PDEs,
stochastic simulations, and agent-based simulations),
and machine learning (neural network landscapes, model-free learning,
and learning interface dynamics). Applications in biophysics and computational biology
(protein dynamics, cell motility, and biofilms),
materials science,
and continuum mechanics.
A one-page, bullet-style
Research Summary mainly for potential
students and postdocs.
Current research topics and projects
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Biomolecular simul., variational solvation,
free energy approx., kinetics, Monte Carlo, folding & binding.
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Spatiotemporal dyn. & complex patterns
of growing bacterial colonies.
Agent-based & continuum simul.
- Electrostatics of biomolecules & ionic solutions,
corre. & steric effects, forces, PB theory, Monte Carlo.
- Modeling, analysis, and numerical methods for interfacial dynamics.
- Machine learning: Neural network landscapes, model-free learning,
and stochastic simulations with application in biology.
Some past research projects
Publications
Presentations
Teaching page
Current teaching
- Math 130: Different Equations and Dynamical Systems,
Winter 2026.
- Math 270B: Numerical Analysis (Part B: Numerical Approximation
and Nonlinear Equations),
Winter 2026.
Recent past courses
Students, postdocs, and long-term visitors
Seminars:
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