I graduated from the École Normale Supérieure in 2013. During my master's degree I worked at the Commissariat à l'Énergie Atomique on models of heterogeneous nucleation, and at the Los Alamos National Laboratory on algorithms accelerating multi-scale simulations.
I joined the Cambridge Center for Gallium Nitride in 2013, to work on applying machine learning algorithms to the optimisation of quantum structures, and to the creation of meta-models able to predict the efficiency of new quantum structures.
I recently got involved with the Geophysics group of the Los Alamos National Laboratory, using machine learning to characterize the physical state of laboratory faults.
I received my PhD from the University of Cambridge in 2017, and I am now a Postdoc at the Los Alamos National Laboratory, using my materials science and machine learning knowledge on geophysics problems.
