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A brief CV
Research interests
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Mathematical modeling and applied analysis,
scientific computing and numerical analysis,
and machine learning,
with application in biophysics, computational biology,
and materials science.
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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Dynamics & patterns
of growing bacterial colonies/biofilms,
agent-based & continuum simul./analysis.
- Electrostatics of biomolecules & ionic solutions,
PB theory, Monte Carlo,
forces, correl. & steric effects.
- Modeling, analysis, and simulation of interface dynamics.
- Machine learning & neural networks (NNs): loss landscapes,
stochastic dynamics, info theory & NNs.
Some past research projects
Publications
Presentations
Teaching page
Current teaching:
Math 217: Topics in Applied Math - Math of Artificial
Neural Networks. Spring 2026.
Students, postdocs, and long-term visitors
Department of Mathematics Colloquium
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