Bruno Loureiro (Preferred)
Bruno Loureiro
Ecole Normale Supérieure, Ecole Normale Supérieure de Paris
Names
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Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@gmail.com
, ****@epfl.ch
, ****@di.ens.fr
Personal Links
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Education & Career History
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Researcher
Ecole Normale Supérieure, Ecole Normale Supérieure de Paris (di.ens.fr)
2022 – Present
Postdoc
Swiss Federal Institute of Technology Lausanne (epfl.ch)
2020 – 2022
Postdoc
CEA (cea.fr)
2018 – 2020
PhD student
University of Cambridge (cam.ac.uk)
2014 – 2018
MS student
University of Cambridge (cam.ac.uk)
2013 – 2014
Undergrad student
King's College London (kcl.ac.uk)
2011 – 2013
Advisors, Relations & Conflicts
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Postdoc Advisor
Florent Krzakala
****@ens.fr
2020 – 2022
Postdoc Advisor
Lenka Zdeborova
****@gmail.com
2018 – 2020
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
Statistical Physics, Disordered Systems
Present
Machine Learning, Deep Learning
Present
Statistical Learning Theory, Statistical Inference,
Present
AdS/CFT applied to Condensed Matter Physics
2014 – 2018