Maxime Ferreira Da Costa Email and Phone Number
Maxime Ferreira Da Costa work email
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Maxime Ferreira Da Costa personal email
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I am an Associate Professor at CentraleSupélec, Université Paris-Saclay, affiliated with the Laboratory of Signals and Systems (L2S). My research is on the mathematical foundations of information sciences, machine learning, and signal processing.
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Associate ProfessorCentralesupélec Oct 2022 - PresentGif-Sur-Yvette, Île-De-France, France -
Associate ProfessorUniversité Paris-Saclay Oct 2022 - PresentGif-Sur-Yvette, Île-De-France, France -
Research AssociateUniversity Of Southern California Jan 2021 - Oct 2022Los Angeles, California, United States -
Research AssociateCarnegie Mellon University Oct 2018 - Jan 2021Pittsburgh, Pennsylvania, United States -
Research AssistantImperial College London Oct 2014 - Sep 2018London, England, United Kingdom -
Financial Software EngineerEfront Mar 2014 - Sep 2014Paris, Île-De-France, France -
Financial Software ConsultantEfront Oct 2012 - Feb 2014Paris, France -
Network And Software EngineerNokia Bell Labs Jun 2011 - Aug 2011Nozay, Île-De-France, France
Maxime Ferreira Da Costa Skills
Maxime Ferreira Da Costa Education Details
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Electrical And Computer Engineering -
Applied Mathematics -
Awarded With Distinction -
Lycée CharlemagneMathematics, Physics
Frequently Asked Questions about Maxime Ferreira Da Costa
What company does Maxime Ferreira Da Costa work for?
Maxime Ferreira Da Costa works for Centralesupélec
What is Maxime Ferreira Da Costa's role at the current company?
Maxime Ferreira Da Costa's current role is Associate Professor at CentraleSupélec | Université Paris-Saclay.
What is Maxime Ferreira Da Costa's email address?
Maxime Ferreira Da Costa's email address is fe****@****ail.com
What schools did Maxime Ferreira Da Costa attend?
Maxime Ferreira Da Costa attended Imperial College London, Centralesupélec, Imperial College London, Lycée Charlemagne.
What skills is Maxime Ferreira Da Costa known for?
Maxime Ferreira Da Costa has skills like Applied Mathematics, Mathematical Programming, Signal Processing, Probability Theory, Statistics, Telecommunications, Financial Engineering, Private Equity, Matlab, C++, Python, .net.
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