I work at the interface between physical/engineering modeling and data science; in particular, my work links manifold learning/machine learning tools with established scientific computing tools/numerical analysis. This work extends the “equation free, variable free” modeling introduced around 2000. I am also very much interested in applications of this data driven technology to engineering and biomedical dynamics problems.
Awards and Achievements
- Academy of Athens
- American Academy of Arts and Sciences
- SIAM Crawford and Reid Prizes
- AIChE Colburn
- CAST and Wilhelm Awards