Research
We work on research problems at the interface of machine learning, numerical analysis, and scientific computation. Topic areas include stochastic analysis, statistical mechanics, differential geometry, and numerical methods. Application areas include soft condensed matter physics, fluid mechanics, and biophysics. We also have additional interests in other topics.
Our work can be classified broadly as:
- Stochastic Analysis
- Statistical Physics
- Numerical Analysis
- Scientific Computation
- Machine Learning / AI / Data Science.
For more information see our publications.
Funding
We gratefully acknowledge the following sources of support:
*This material is based upon work supported by the National Science Foundation under Grant No. NSF DMS-0635535 and NSF CAREER DMS-0956210. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).