Matt Menickelly

I work on numerical optimization problems, particularly problems in which derivative information of objective/constraint functions are not explicitly available (derivative-free optimization), and problems in which the objective and constraints are subject to inherent uncertainty (robust and/or stochastic optimization). I am involved in incorporating methods of artificial intelligence/machine learning into optimization workflows. I am more recently very interested in variational quantum algorithms.