Research
Our research is at the interface of stochastic analysis, statistical mechanics, scientific computation, and machine learning. Application areas include soft condensed matter physics, fluid mechanics, and biophysics. We also work on general methods for numerical analysis and for inference in machine learning.
Our work can be classified broadly as:
- Stochastic Analysis
- Statistical Physics
- Numerical Analysis
- Scientific Computation
- Machine Learning / 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).