Aymane El Gadarri

Aymane completed his MS and BS in Applied Mathematics and Computer Science at Ecole Polytechnique in France. As a CHAI intern, he is interested in bridging the theory and practice gap in deep reinforcement learning.

Broadly, he is interested on using machine learning for better, fairer, and more robust decision-making under uncertainty.

Prior to his internship, he conducted research on quantum computing for solving combinatorial optimization problems and on statistical learning for drug discovery. Aymane will start his PhD in Applied Mathematics at MIT in the fall. Visit his Linkedin profile here.