cerc-datascience polymtl.ca

CERC Data Science for Real-Time Decision-Making

As Canada Excellence Research Chair in Data Science for Real-Time Decision-Making at Polytechnique Montréal, Dr. Andrea Lodi holds Canadas main chair in Operations Research. The Chairs mission is to combine knowledge acquisition through Machine Learning with decision making through Mathematical Optimization in a unified approach that is able to take advantage of the virtually unlimited quantity of data and lead to Data-Driven Innovation. What is the Chair about? About the CERC program.
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Margarida Carvalho

Margarida Carvalho was born in 1988 in Oporto. Since her early years science has ignited her curiosity, particularly in the field of Mathematics. At the beginning of 2009, she started her collaboration with the Department of Computer Science in the Neurosciences division. To accomplish her master thesis, she made research in applied game theory in the electricity market. In March 2017, Margarida started an IVA.

Ivado Institut de valorisation des données IVADO

HEC Montréal - Polytechnique Montréal - Université de Montréal.

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CERC Data Science for Real-Time Decision-Making

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As Canada Excellence Research Chair in Data Science for Real-Time Decision-Making at Polytechnique Montréal, Dr. Andrea Lodi holds Canadas main chair in Operations Research. The Chairs mission is to combine knowledge acquisition through Machine Learning with decision making through Mathematical Optimization in a unified approach that is able to take advantage of the virtually unlimited quantity of data and lead to Data-Driven Innovation. What is the Chair about? About the CERC program.

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The website cerc-datascience.polymtl.ca states the following, "As Canada Excellence Research Chair in Data Science for Real-Time Decision-Making at Polytechnique Montréal, Dr." I analyzed that the website also said " Andrea Lodi holds Canadas main chair in Operations Research." They also stated " The Chairs mission is to combine knowledge acquisition through Machine Learning with decision making through Mathematical Optimization in a unified approach that is able to take advantage of the virtually unlimited quantity of data and lead to Data-Driven Innovation. What is the Chair about? About the CERC program."

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