Workshop Speakers

Plenary Speakers

Coralia Cartis
Mathematical Institute, University of Oxford

Coralia Cartis is Associate Professor in Numerical Optimisation in the Mathematical Institute, University of Oxford since 2013, and a Turing fellow of the Alan Turing Institute for Data Science since 2016; previously, she held academic and research positions at University of Edinburgh and Rutherford Appleton Laboratory, respectively. She holds…

Frank E. Curtis
Industrial and Systems Engineering, Lehigh University

Frank E. Curtis is an Associate Professor in the Department of Industrial and Systems Engineering at Lehigh University, where he has been employed since 2009. He received his Bachelor degree from the College of William and Mary in 2003 with a double major in Mathematics and Computer Science, received his Master degree in 2004 and Ph.D. in 2007…

Donald Goldfarb
Industrial Engineering and Operations Research, Columbia University

Donald Goldfarb is the Avanessians Professor in the IEOR Department at Columbia University. He is internationally recognized for the development and analysis of efficient and practical algorithms for solving various classes of optimization problems, including the BFGS quasi-Newton method (QN) for unconstrained optimization, steepest-edge simplex…

Elad Hazan
Department of Computer Science, Princeton University

Elad Hazan is a professor of computer science at Princeton University. His research focuses on the design and analysis of algorithms for basic problems in machine learning and optimization. Amongst his contributions are the co-development of the AdaGrad optimization algorithm, and the first sublinear-time algorithms for convex optimization. He…

Adrian Lewis
Operations Research and Information Engineering, Cornell University
Jorge Nocedal
Industrial Engineering and Management Sciences, Northwestern University

Jorge Nocedal is the Walter P. Murphy Professor in the Department of Industrial Engineering and Management Sciences at Northwestern University. He obtained his B.S. degree in physics from UNAM, Mexico, and a PhD in mathematical sciences from Rice University. His research is in optimization, both deterministic and stochastic, and with emphasis…

Michael Overton
Courant Institute of Mathematical Sciences, New York University

Michael L. Overton is Silver Professor of Computer Science and Mathematics at the Courant Institute of Mathematical Sciences, New York University.  He received his Ph.D. in Computer Science from Stanford University in 1979.  He is a fellow of SIAM (Society for Industrial and Applied Mathematics) and of the IMA (Institute of Mathematics and its…

Katya Scheinberg
Operations Research and Information Engineering, Cornell University

Katya Scheinberg is professor at the School of Operations Research and Information Engineering at Cornell University. Before then she held the Harvey E. Wagner Endowe Chair Professor position at the Industrial and Systems Engineering Department at Lehigh University. She was also a co-director of Lehigh Institute on Data, Intelligent Systems and…

Invited Speakers

Albert Berahas
Department of Industrial & Operations Engineering (August 2020), University of Michigan

Albert S. Berahas will join the Industrial & Operations Engineering department at the University of Michigan as an Assistant Professor in August 2020. Currently, he is a Postdoctoral Research Fellow in the Industrial & Systems Engineering department at Lehigh University working with Professors Katya Scheinberg (Cornell University),…

Sébastien Bubeck
Machine Learning and Optimization, Microsoft Research
Alexandre d’Aspremont
Département d'informatique, École Normale Supérieure

After dual PhDs from Ecole Polytechnique and Stanford University in optimisation and finance, followed by a postdoc at U.C. Berkeley, Alexandre d'Aspremont joined the faculty at Princeton University as an assistant then associate professor with joint appointments at the ORFE department and the Bendheim Center for Finance. He returned to Europe…

Jelena Diakonikolas
Department of Computer Science, University of Wisconsin-Madison

Jelena Diakonikolas is an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin, Madison. She received her Ph.D. degree in electrical engineering from Columbia University in 2016. Her research interests include large-scale optimization algorithms, connections between optimization and dynamical systems, and…

Dima Drusvyatskiy
Department of Mathematics, University of Washington

Dmitriy Drusvyatskiy received his PhD from the Operations Research and Information Engineering department at Cornell University in 2013, followed by a post doctoral appointment in the Combinatorics and Optimization department at Waterloo, 2013-2014. He joined the Mathematics department at University of Washington as an Assistant Professor in…

Wenbo Gao
Industrial Engineering and Operations Research, Columbia University

To be confirmed

Wenbo Gao obtained his PhD from the Dept. of Industrial Engineering and Operations Research at Columbia University in 2020. His recent work includes the analysis of quasi-Newton methods, ADMM, and applications of reinforcement learning. His research interests span optimization, combinatorics, and machine learning.

Robert Gower
Facebook AI Research and Machine Learning and Optimization, (Télécom Paris)
Simon Lacoste-Julien
Computer Science and Operations Research, Université de Montréal

Simon Lacoste-Julien received the B.Sc. degree in mathematics, physics and computer science from McGill University, and the PhD degree in computer science from University of California, Berkeley, in 2009. He is currently an associate professor in the department of computer science and operations research at…

Anton Rodomanov
Higher School of Economics, National Research University

Anton Rodomanov obtained the bachelor's degree in Computer Science at the Lomonosov Moscow State University (Moscow, Russia) in 2015, followed by the master's degree in Computer Science at the Higher School of Economics (Moscow, Russia) in 2017. From 2019 to 2022, he is a PhD student of Yurii Nesterov at the Catholic University of Louvain …

Mengdi Wang
ECE and the Center for Statistics and Machine Learning, Princeton University

Mengdi Wang is an associate professor at the Department of Electrical Engineering and Center for Statistics and Machine Learning at Princeton University. She is also affiliated with the Department of Operations Research and Financial Engineering and Department of Computer Science. Her research focuses on data-driven stochastic optimization and…