Polynomial Optimization, (Large-scale) Semidefinite Programming, Convex Relaxations of NP-hard Problems
Probability and Statistics (PhD)
Georgina Hall is an Assistant Professor of Decision Sciences at INSEAD. Her research is in optimization, with a focus on convex relaxations of NP-hard problems, particularly those arising in polynomial optimization. Prior to joining INSEAD, Georgina was a Gordon Wu fellow at Princeton University, Department of Operations Research and Financial Engineering. She received her PhD from there in May 2018, under the supervision of Professor Amir Ali Ahmadi. She was also the valedictorian of Ecole Centrale, Paris, where she obtained a B.S. and an M.S., in 2011 and 2013 respectively.
Georgina is the recipient of the Médaille de l’Ecole Centrale from the French Académie des Sciences and the Princeton School of Engineering and Applied Sciences Award for Excellence. Her paper “DC decomposition of nonconvex polynomials using algebraic techniques” is the recent recipient of the 2016 Informs Computing Society Prize for Best Student Paper. She has also been the recipient of a number of teaching awards, including the Princeton University's Engineering Council Teaching Award, the university-wide Excellence in Teaching Award of the Princeton Graduate School, and the 2017 Excellence in Teaching of Operations Research Award of the Institute for Industrial and Systems Engineers.