Curriculum Vitae: You can download my full CV here.
I am currently a PhD student in Applied Mathematics at the French Engineering School, Ecole Nationale des Ponts et Chaussées, under the supervision of Eric Cancès. My research interests include:
1) Minimum-energy reaction path searches on potential energy surfaces (PES). Currently working on improving the Activation-Relaxation Technique nouveau (ARTn), an eigenvector following method for finding transition pathways on a given PES. See : “Some improvements of the ART method for finding transition pathways on potential energy surfaces”
2) Free energy calculations and adaptive importance sampling methods. Using an unconstrained molecular dynamics based method, Adaptive Biasing Force (ABF), the average force of the system at a fixed point in the reaction coordinate is estimated and is used to bias the dynamics out of metastable regions, allowing for more uniform sampling along a given reaction coordinate. This method is improved by running a number of replicas in parallel and exchanging force information at fixed intervals. Further improvement is obtained by implementing a selection mechanism, whereby far-reaching replicas are cloned, and less effective walkers are eliminated.
I am a graduate of the Ecole Polytechnique, France with a Masters in Applied Mathematics, specializing in Optimization. The final project was in collaboration with the Ecole Polytechnique de Montréal, Canada, where I worked on parameter optimization (using Genetic Algorithms) for a cardiovascular model, and optimal control methods for the development of the Left Ventricular Assist Device (LVAD).
I am also a graduate from University of Oxford with a BA Mathematics & Computer Science with First Class Honours and an MSc in Mathematical Modeling & Scientific Computing. During both degrees, courses were organized by the Oxford University Computing Laboratory and the Mathematical Institute.