Prof. Andrea Lodi

Canada Excellence Research Chair in “Data Science for Real-time Decision making” Department of Mathematics and Industrial Engineering - École Polytechnique de Montréal

Prof. Andrea Lodi

Canada Excellence Research Chair in “Data Science for Real-time Decision making” Department of Mathematics and Industrial Engineering - École Polytechnique de Montréal
Title: On Big Data, Optimization and Learning

Biography

Website

Andrea Lodi received the PhD in System Engineering from the University of Bologna in 2000 and he has been Herman Goldstine Fellow at the IBM Mathematical Sciences Department, NY in 2005–2006. He has been full professor of Operations Research at DEI, University of Bologna between 2007 and 2015. Since 2015 is Canada Excellence Research Chair in “Data Science for Real-time Decision Making” at the École Polytechnique de Montréal. His main research interests are in Mixed-Integer Linear and Nonlinear Programming and Data Science. He is author of more than 80 publications in the top journals of the field of Mathematical Optimization. He serves as Associated Editor for several prestigious journals in the area. He is network coordinator of EU projects, and, since 2006, consultant of the IBM CPLEX research and development team.

Presentation Abstract

Big Data and Mixed-Integer Programming

In this talk I review a couple of applications on Big Data that I personally like and I try to explain my point of view as a Mathematical Optimizer — especially concerned with discrete (integer) decisions — on the subject. I advocate a tight integration of Data Mining, Machine Learning and Mathematical Optimization (among others) to deal with the challenges of decision-making in Data Science. Those challenges are the core of the mission of the Canada Excellence Research Chair in “Data Science for Real-time Decision Making” that I hold.