Vivien Cabannes

PhD Canditate



Along my schooling, I have developed a strong interest in rigorous knowledge offered by science, especially when leading to useful applications. After a detour in the financial industry, this has led me to pursue a PhD in machine learning. More specifically, I am looking for a framework to learn with weakly supervised data, which could significantly advance the current scope of machine learning.

During my spare time, you will find me involved in public life, through political organizations, and, to a lower extend, artistic reflexions. Finally, cooking and staying active are recreational activities that have the luck to enjoy in my daily routine.


  • Machine Learning
  • Weakly Supervised Learning
  • Structured Prediction


  • MSc in Machine Learning, 2017

    ENS Paris-Saclay

  • BSc in Mathematics, 2015

    ENS Paris

  • BSc in Computer Science, 2015

    ENS Paris



PhD Candidate


Sep 2019 – Present Paris, France
Weakly supervised learning approached through structured prediction.

Research Analyst Intern

Cubist, Point 72

Jun 2019 – Aug 2019 New York, USA
Research to incorporate machine learning anywhere inside a classical trading framework.

Research Analyst Intern

Cubist, Point 72

Jan 2018 – Aug 2018 New York, USA
First hired of a new portfolio manager. Cobuilding of a complete algorithmic trading framework.

Short-Term Visiting Scholar

Duke University

Apr 2017 – Sep 2017 North Carolina, USA
Early screening of autism through facial expression analysis. Master thesis.

Graduate Student

Ecole Normale Superieure

Sep 2014 – Apr 2018 Paris, France
Mathematics and computer science studies. Civil servant position as a distinguished student.

Office Directions

  • 2 rue Simone Iff, Paris, Ile-de-France, 75012, France
  • Enter Building C and take the elevators to Office 408