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