Experience

CMAP Ecole Polytechnique

• Research Services
• 1 - 100 Employee

• PHD Student

  • Oct 2020 - Present

  OptimizationSupervised by Aymeric Dieuleveut and Eric Moulines.Working closely with Adrien Taylor.Super-Acceleration with Cyclical Step-sizes:https://arxiv.org/pdf/2106.09687.pdfPEPit: computer-assisted worst-case analyses of first-order optimization methods in Python:https://arxiv.org/pdf/2201.04040.pdf

• Research Assistant

  • May 2020 - Sep 2020

  OptimizationSupervised by Aymeric Dieuleveut



Montreal Institute for Learning Algorithms (MILA)

• Research Assistant

  • Apr 2019 - Apr 2020

  OptimizationSupervised by Pr. Ioannis Mitliagkas.A Study of Condition Numbers for First-Order Optimization:https://arxiv.org/pdf/2012.05782.pdf

• Research Assistant

  • Nov 2018 - Mar 2019

  Deep LearningSupervised by Pr. Yoshua Bengio, Dr. Min LinGradient based sample selection for online continual learning:https://arxiv.org/pdf/1903.08671



Apple

• United States
• Computers and Electronics Manufacturing
• 700 & Above Employee

• Research Scientist Intern

  • Oct 2017 - Sep 2018

  Work on the Portrait mode feature shipped in iOS12. Keywords: - Dense Image Registration - Depth - Deep Learning - Convex and non convex optimization Work on the Portrait mode feature shipped in iOS12. Keywords: - Dense Image Registration - Depth - Deep Learning - Convex and non convex optimization



Owkin

• United States
• Biotechnology Research
• 200 - 300 Employee

• Data Scientist freelance

  • Sep 2017 - Oct 2017

  Redaction of a scientific article on results observed during the previous internship, before starting my next position.Robust Detection of Covariate-Treatment Interactions in Clinical Trials:https://arxiv.org/abs/1712.08211

• Data Scientist intern

  • Apr 2017 - Sep 2017

  Statistic and Machine Learning techniques for personalized treatment issue:- Hypothesis testing theory- Stochastic processes theory- Clustering on similarity graphs



lycee blaise pascal

• Civic and Social Organizations
• 1 - 100 Employee

• Teaching Assistant

  • Sep 2016 - Jun 2017

  Teaching Assistant in second year of preparatory classes (MP*) Teaching Assistant in second year of preparatory classes (MP*)



Inria

• France
• Research Services
• 700 & Above Employee

• Machine Learning Intern

  • Jun 2015 - Aug 2015

  Intern at INRIA under the supervision of Eitan Altman. - Predicting YouTube Viewcount evolution thanks to Bio-inspired models. - Adapting the models for videos which have periodic behaviour - Cross Validation in order to adjust parameters of the models Intern at INRIA under the supervision of Eitan Altman. - Predicting YouTube Viewcount evolution thanks to Bio-inspired models. - Adapting the models for videos which have periodic behaviour - Cross Validation in order to adjust parameters of the models



lycee blaise pascal

• Civic and Social Organizations
• 1 - 100 Employee

• Teaching Assistant

  • Sep 2014 - Jun 2015

  Teaching Assistant in first year of preparatory classes (MPSI) Teaching Assistant in first year of preparatory classes (MPSI)



CMLA (Centre de mathématiques et de leurs applications)

• Cachan

• Machine Learning intern

  • Jan 2014 - Jun 2014

  Intern at CMLA, mathematics laboratory of the Ecole Normale Supérieur at Cachan with Hoel Plantec under the supervision of Emile Contal and Laure Quivy. Project in Machine Learning for Tdf (Télédiffusion de France). This project consisted in modeling a price w.r.t given parameters, using the following methods: -Preprocessing in order to clean the datas -Kernel Ridge Regression -Cross Validation in order to adjust the parameters of the model -Find a better loss function in order to satisfy an additional constraint: predict by excess. Show less