Computational earth sciences

Today’s Earth science problems are big, tangible, and real. I think the answers to these large-scale challenges lie in powerful computing.

Learn more

Machine learning

Addressing scientific challenges requires vast data analysis. I solve these problems through statisticalmodels and algorithms to identify patterns in these data.

Learn more

Problem-solving

My favorite problems are the impossible problems — the ill-defined problems that require creative and innovative cross-disciplinary solutions.

Learn more

About me

I am currently pursuing a Ph.D. in Computational Earth Sciences at Stanford University, working on research at the intersection of deep learning and seismology. I hold a Master in Science and Executive Engineering from the Ecole Nationale Superieure des Mines de Paris.

Previously, I was with Google, Chevron, Schlumberger, Actimage, and Valeo. I have moved around, spending time living in the Netherlands, France, Japan, the Philippines, and the United States. Somewhere in there, I found the time to get my helicopter license.

When I am not doing science or writing code, I enjoy drawing fantasy creatures.

Learn more