Sophie Huiberts is a PhD candidate at Centrum Wiskunde & Informatica and is advised by Daniel Dadush. She received bachelor’s degrees in mathematics and computer science and a master’s degree in mathematics from Utrecht University. She did her master’s thesis research at CWI.
Her research focuses around algorithms for linear programming, with an interest in geometry and probability in high dimensions.
She has worked on smoothed (probabilistic) analysis of the simplex method and on scaling-invariant interior point methods.