Broadly: Interdisciplinary mathematical/stochastic modeling, data assimilation, Monte Carlo sampling.
Specifically: Numerical methods for data assimilation and inverse problems – importance/implicit sampling, Markov chain Monte Carlo, variational methods/optimization, Kalman filters; data assimilation and inverse problems in Earth science.
- University of California, Berkeley, Mechanical Engineering PhD 2011
- University of California, Berkeley, Mechanical Engineering M.Sc. 2009
- Technical University Darmstadt (Germany), Mechanical Engineering Diplom 2007