Students

Post-Docs

• Anastasiia Kabeshova (2018-2020)
  • Ecole polytechnique, Palaiseau
  • co-supervision with E. Bacry (Univ. Paris Dauphine)

PhD Students

• Ibrahim Merad (2020–)
  • Univ. Paris Diderot, Paris
  • title: Unsupervised representation learning and applications in healthcare
  • financed by PERHAPS Chair (ANR as part of the “Investissements d’avenir” program reference ANR-19-P3IA-0001; PRAIRIE 3IA Institute)
• Yiyang Yu (2018–)
  • Univ. Paris Diderot, Paris
  • title: Deep learning for Public Health
  • financed by the “DIM région Ile-de-France” program
  • co-supervision with E. Bacry (Univ. Paris Dauphine)
• Maryan Morel (2017-2020)
  • title: Machine learning for learge observational datasets in healthcare
  • co-supervision with E. Bacry (Univ. Paris Dauphine)

Master 2 Students (recent)

• Ibrahim Merad (2020)
  • LPSM, University of Paris
  • Convergence of attentive recurrent networks and guarantees for contrastive unsupervised learning
  • co-supervision with E. Bacry
• Raphaël Guegan (2019)
  • Ecole polytechnique et Univ. Paris Diderot
  • Prédiction des flux d’arrivée dans les services d’urgence d’Île-de-France
  • co-supervision with E. Bacry (Univ. Paris Dauphine and K. Tribouley)
• Ding Phong Nguyen (2018)
  • Ecole polytechnique
  • Statistical learning in public health
  • co-supervision with E. Bacry (Univ. Paris Dauphine)
• Yiyang Yu (2018)
  • Ecole polytechnique
  • Deep learning on large electronic health records
  • co-supervision with E. Bacry (Univ. Paris Dauphine)

Alumni

• Jaouad Mourtada (2017-2020)
  • Ecole polytechnique, Palaiseau
  • title: Contributions to statistical learning: density estimation, expert aggregation and random forests
  • http://www.cmapx.polytechnique.fr/~jaouad.mourtada/index.html
  • co-supervision with E. Scornet (Ecole polytechnique)
  • Defended 2020-06-08
  • Now associate professor at ENSAE
• Alain Virouleau (2016-2020)
  • title: Apprentissage statistique pour la détection de données aberrantes et application en santé
  • co-supervision with A. Guilloux (Univ d’Evry)
  • Defended 2020-06-18
  • Now teacher of mathematic sat Institut Villebon - Georges Charpak
• Martin Bompaire
  • title: Machine learning based on Hawkes processes and stochastic optimization
  • Defended 2019-07-05
  • co-supervision with E. Bacry (Univ. Paris Dauphine)
  • Now Machine Learning Engineer at Criteo, Paris
• Simon Bussy
  • title: Introduction of high-dimensional interpretable machine learning models and their applications
  • co-supervision with A. Guilloux (Univ d’Evry) and A.-S. Jannot (HEGP)
  • Defended 2019-01-16
  • Obtained the Norbert Marx price from SFdS
  • Now co-funder of Califrais and research engineer at AP-HP
• Massil Achab (2014–2017)
  • title: Learning from sequences with point processes
  • co-supervision with E. Bacry (Univ. Paris Dauphine)
  • Defended 2017-10-09
  • Now Data-Scientist at PriceHubble
• Gustaw Matulewicz (2014–2017)
  • title: Inférence statistique de processus d’Ornstein-Uhlenbeck: génération de graphes stochastiques, sparsité, applications en finance
  • co-supervision with E. Gobet (Ecole polytechnique)
  • Defended 2017-12-15
  • Now Quantitative Researcher at Squarepoint Capital, Singapore
• Mokhtar Alalya (2012–2016)
  • title: Segmentation of counting processes and dynamic models
  • co-supervision with A. Guilloux (Univ. d’Evry)
  • Defended 2016-06-27
  • Now Post-Doc at LITIS Laboratory, France

Engineers

In the context of the CNAM partnership and other research projects I hired and supervised several engineers.

• Yasser Benigmim (2020), Python and pytorch for a project on the prediction of the affluence at AP-HP hospitals
• Philip Deegan (2017-), C++11 and Python development for the tick library
• Youcef Sebbiat (2016-), spark and scala development for the CNAM project
• Maryan Morel (2015-2016), spark, scala and Python development for the CNAM project
• Daniel de Paula et Silva (2016-2018), spark and scala development for the CNAM project
• Prosper Burq (2015-2017), spark and scala development for the CNAM project and cluster administration
• Soren Poulsen (2016-2017), C++11 and Python development for the tick library
• Michel Blancard (2015-2016), data-scientist at Etalab
• Sathiya Kumar (2015-2017), spark and python development for the CNAM project
• Christos Giatsidis (2015-2017), spark and python development for the CNAM project