Edward Hallé-Hannan, PhD

My research combines mathematical modeling, machine learning, and algorithm design, with the goal of developing derivative-free optimization that are supported by solid theory and are efficient in practice. Notable applications include hyperparameter optimization and simulation-based engineering design.

I started a postdoctoral fellowship at Georgia Tech in Summer 2026 under the supervision of Professor Katya Scheinberg, focusing on stochastic derivative-free optimization.

I completed a PhD in April 2026 at Polytechnique Montréal under the supervision of Professors Charles Audet, Youssef Diouane, and Sébastien Le Digabel. My doctoral research focused on mixed-variable and hierarchical blackbox optimization, where functions lack explicit expressions, variables come in different types, and meta variables influence the dimension and structure of the problem.

For full details, see my CV.