Laurent El Ghaoui Division of Electrical Engineering/EECS decision-making under uncertainty, convex optimization, robust optimization, sparse optimization, machine learning, implicit deep learning, lifted deep learning
Paul Grigas Dept of Industrial Engineering & Operations Research large-scale convex optimization, statistical machine learning, data-driven decision-making
Ming Gu Dept of Mathematics mathematics, scientific computing, numerical linear algebra, convex optimization
Michael Jordan Dept of Statistics Division of Computer Science/EECS computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning