Invited Speakers

Address
Operations Research Center, E40-111
Massachusetts Institute of Technology
Cambridge, MA 02139, USA
dbertsim "at" mit.edu

Lectures
Machine Learning via a modern optimization lens
From Predictive to Prescriptive Analytics

Short Bio
Dimitris Bertsimas is currently the Boeing Professor of Operations Research, co-director of the Operations Research Center, faculty director of the Master of Business Analytics at the Massachusetts Institute of Technology. He has received a BS in Electrical Engineering and Computer Science at the National Technical University of Athens, Greece in 1985, a MS in Operations Research at MIT in 1987, and a Ph.D in Applied Mathematics and Operations Research at MIT in 1988. Since 1988, he has been with the MIT faculty.
Since the 1990s he has started several successful companies in the areas of financial services, asset management, health care, publishing, analytics and aviation.
His research interests include analytics, optimization and their applications in a variety of industries. He has co-authored more than 200 scientific papers and four textbooks, including the book 'The Analytics Edge' published in 2016. He is former area editor in Operations Research in Financial Engineering and in Management Science in Optimization. He is currently the editor in chief of INFORMS journal on optimization. He has supervised 63 doctoral students and he is currently supervising 25 others.
He is a member of the US National Academy of Engineering, and an INFORMS fellow. He has received several research awards including the Philip Morse lectureship award (2013), the William Pierskalla award for best paper in health care (2013), the best paper award in Transportation Science (2013), the Farkas prize (2008), the Erlang prize (1996), the SIAM prize in optimization (1996), the Bodossaki prize (1998) and the Presidential Young Investigator award (1991-1996).

Address
Department of Industrial Engineering
Universidad de Chile
Republica 701, Santiago, Chile
lastname@uchile.cl

Lectures
Prophet inequalities and posted price mechanisms: Part 1
Prophet inequalities and posted price mechanisms: Part 2

Short Bio
Jose Correa is a Professor of Industrial Engineering at Universidad de Chile. He graduated as a Mathematical Engineer from Universidad de Chile in 1999 and obtained a PhD in Operations Research from MIT in 2004. His research, focusing in game theory and combinatorial optimization, has been rewarded with some important prizes (such as the TSL best paper award, Tucker prize finalist, and a Google Research Award). Jose serves in the editorial board of Operations Research and Mathematical Programming B and has been in the program committee of a number of conferences.

Address
Amazon.com
NYC, USA
dean.foster@gmail.com

Lectures
Linear methods for large data
Calibration: From bankruptcy to winning games

Short Bio
Dean has pioneered two areas in game theory: stochastic evolutionary game dynamics and calibrated learning. In both cases he worked on the theory necessary to show convergence to equilibrium. The calibrated learning strategies he developed grew out of his work on individual sequences. In his work with Rakesh Vohra he coined the ideas of no-internal-regret and calibration. It is these learning rules that can be shown to converge to correlated equilibrium.
Much of his current work is on statistical approaches to NLP problems and other issues in big data. He has come up with several algorithms for fast variable selection in regressions and has proven these to have nice theoretical properties. He has used vector models for words to allow them to be more easily manipulated using statisticaltechnology. These often end up using spectral techniques, for example, as he has used them to fit HMMs and probabilistic CFG.

Address
Graduate School of Business, Stanford University
655 Knight Way
Stanford, CA 94305-5015, U.S.A.
lwein@stanford.edu

Lectures
Two Operations Management Problems in Criminology
Data-driven Operations Research Analyses in the Humanitarian Sector

Short Bio
Lawrence M. Wein is the Jeffrey S. Skoll Professor of Management Science at the Graduate School of Business, Stanford University. He received a B.S. in Operations Research and Industrial Engineering from Cornell University in 1979 and a Ph.D. in Operations Research at Stanford University in 1988. He was a professor at MIT's Sloan School of Management from 1988 to 2002. His research interests are in operations management and public health, including problems in mathematical biology and homeland security. He was Editor-in-Chief of Operations Research from 2000 to 2005. He has been awarded a Presidential Young Investigator Award, the Erlang Prize, the Koopman Prize, the INFORMS Expository Writing Award, the Philip McCord Morse Lectureship, the Omega Rho Lectureship, the INFORMS President's Award, the Frederick W. Lanchester Prize, the George E. Kimball Medal, and a best paper award from Risk Analysis. He is an INFORMS Fellow, a M&SOM Fellow and a member of the National Academy of Engineering.