Clément Lalanne

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Postdoctoral researcher in Mathematics at Toulouse School of Economics, Université Toulouse 1 Capitole.
My work focuses on Optimization, Differential Privacy, Learning Theory and Statistics.
Contact : On my institution's website.

News

Publications

Teaching

* 2022-2023 Competitive Programming L3 ENS Lyon : On site, room E001. Materials on the Discord server. If you need an invide, reach out to me directly.
Some other useful information may be found on the other lecturers' pages: Eric Thierry, Le Quoc Tung, Julien Duron and Redouane Elghazi.
* 2022-2023 Optimization M1 ENS Lyon : On site, rooms B1 and B2. Materials on the portail des Ă©tudes.
Some other useful information may be found on the other lecturers' pages: Elisa Riccietti, Stéphan Thomassé and Le Quoc Tung.
* 2021-2022 Data Bases and Data Mining M1 ENS Lyon : On site, room B1. Materials on the portail des Ă©tudes.
Some other useful information may be found on the other lecturers' pages: Mohand-SaĂŻd Hacid and CĂ©line Robardet.
* 2021-2022 Machine Learning M1 ENS Lyon : On site in amphi B. Materials on Aurélien Garivier's page and on the portail des études.
Some other useful information may be found on the other lecturers' pages:Yohann De Castro and Elisa Riccietti.
* 2021-2022 System Programming IUT2 Lyon 1 : On site, refer to your schedule for the room. Materials on Anthony Busson's page.
* 2020-2021 Competitive Programming L3 ENS Lyon : Mixed, on Discord and in amphi B. Materials on the Discord server. If you need an invide, reach out to me directly.
Some other useful information may be found on the other lecturers' pages: Eric Thierry, Le Quoc Tung, Christophe Lucas and Lucas Perotin.
* 2020-2021 Data Bases and Data Mining M1 ENS Lyon : Remote on ENS BBB. Materials on the portail des Ă©tudes.
Some other useful information may be found on the other lecturers' pages: Emmanuel Coquery and Marc Plantevit.
* 2020-2021 Machine Learning M1 ENS Lyon : Remote on ENS BBB. Materials on Aurélien Garivier's page and on the portail des études.
Some other useful information may be found on the other lecturers' pages: Aurélien Garivier and Yohann De Castro.

Others

* SĂ©minaires pour tous : Vulgarization of research topics to high school students.

Curriculum

  • * 2020-2023 : PhD student in Computer Science at ENS Lyon under the supervision of AurĂ©lien Garivier and RĂ©mi Gribonval among the Inria OCKHAM team. I successfully defended my PhD thesis in computer science titled "On the tradeoffs of statistical learning with privacy" on October 4th 2023. You may find the manuscript here, and the slides here.
  • * 2023 : Laureate of the "AgrĂ©gation Externe de MathĂ©matiques"
  • * 2020-2023 : Teacher Assistant, ENS Lyon, France. Subjects: Machine Learning, Optimization, Data Bases and Data Mining, Competitive Programming, System Programming
  • * 2019-2020 : Voluntary Complementary Formation in Mathematics, ENS Ulm, Paris, France
  • * Spring 2019 : Internship : Nystagmus waveform extraction using convolutional dictionary learning with detrending, Supervised by Nicolas Vayatis, Laurent Oudre and Thomas Moreau, CMLA of ENS Paris-Saclay, Paris, France
  • * 2018-2019 : M.S. in Applied Mathematics, MVA, ENS Paris-Saclay, France
  • * Spring 2018 : Internship : Storage-optimal continuous optimization, Supervised by Volkan Cevher, EPFL in LIONS team, Lausanne, Switzerland
  • * 2017-2018 : M.S. in Computer Science, ENS Ulm, Paris, France
  • * Summer 2017 : Internship : De-anonymization and privacy: Study of a random graph model, Supervised by Florian Simatos, DISC of ISAE Supaero, Toulouse, France
  • * 2016-2017 : B.S. in Computer Science, ENS Ulm, Paris, France
  • * 2015-2016 : CPGE MP*, LycĂ©e Louis-Le-Grand, Paris, France
  • * 2013-2015 : CPGE MPSI/MP, LycĂ©e Louis Barthou, Pau, France