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Senior Research Scientist at Google DeepMind
I am a Research Scientist at DeepMind. My current research interests are in building object-centric generative models from vision, and in solving the associated learning and inference problems. Prior to joining DeepMind, I worked 3.5 years as a Research Scientist then as a Senior Research Scientist at Vicarious (acquired by Alphabet) where I was building an AI layer for robots. My research there was combining probabilistic graphical models with cognitive science to build neuroscience-inspired generative models for vision which generalized from a limited number of training examples. Prior to joining Vicarious, I graduated from MIT Operations Research Center Master of Science, where I was advised by Prof. Rahul Mazumder. My thesis lied at the intersection of Machine Learning, Optimization and Statistics, building new algorithms to compute interpretable estimators, and studying their statistical performance. Before MIT, I earned an MS in Applied Mathematics from Ecole Polytechnique.
Massachusetts Institute of Technology
Master of Science (M.S.) Operations Research, Machine Learning - Optimization - Statistics. GPA 5.0/5.0
January 1, 2016 – January 1, 2018
École Polytechnique
Master of Science (M.Sc.), Probability - Statistics - Optimization
January 1, 2013 – January 1, 2017
Classe préparatoire Sainte Geneviève
Mathematics - Computer Science - Physics
January 1, 2011 – January 1, 2013
Lycée Emilie de Rodat - Toulouse
Baccalauréat, Major in Science, European Grade
January 1, 2009 – January 1, 2011
Google DeepMind
Senior Research Scientist
May 1, 2024 – Present
Mountain View, Californie, États-Unis
Google DeepMind
Research Scientist
May 1, 2022 – May 1, 2024
Mountain View, Californie, États-Unis
Vicarious
Senior Research Scientist
October 1, 2021 – May 1, 2022
Vicarious
Researcher
September 1, 2018 – September 1, 2021
Codi
Data science consultant
March 1, 2018 – March 1, 2022
Région de la baie de San Francisco, États-Unis
Pandora
Graduate Research Student
September 1, 2017 – May 1, 2018
Région de Boston, États-Unis
Massachusetts Institute of Technology
Research Assistant in Machine Learning / Optimization
September 1, 2016 – June 1, 2018
Societe Generale Corporate and Investment Banking - SGCIB
Equity Derivative Structurer
March 1, 2016 – July 1, 2016
Paris
Option
Web developper
June 1, 2015 – August 1, 2015
Chili
Shanghai Jiao Tong University
Teacher assistant and examiner
October 1, 2013 – March 1, 2014
Shanghai
Deep Reinforcement Learning for 2048
March 1, 2017 – May 1, 2017
- Built a Reinforcement Learning environment for 2048. - Coupled a multilayer Policy Neural Network (randomly initialized) with a Monte-Carlo Tree Search, and achieve performances comparable to a human player, without any prior knowledge of the game.
Feature Selection for Support Vector Machines
November 1, 2016 – December 1, 2016
- Studied 20+ research articles on variable selection for SVM and implemented two relevant algorithms - Proposed a new hybrid approach leading to better results on synthetic and on real cancer datasets
GAPP, Bringing RFID to mass market
December 1, 2015 – February 1, 2016
- Designed a product proposal leveraging RFID chip technology to cut consumer waiting time at cashier and staff expenditures in supermarkets. - Field research: interviews of supermarket owners and consumers. - Implemented Lean product development. - Drafted a business & long term strategy plan.
Revenue Management project - Air France
September 1, 2015 – March 1, 2016
Modeled the worldwide flights of the company and improved flight management.
Finance research project
September 1, 2015 – November 1, 2015
- Project proposed by the department of Applied Mathematics. - Built a statistical method and implemented in MATLAB an algorithm to detect inside trading
Team based scientific project
October 1, 2014 – May 1, 2015
Project in partnership with the Pasteur Insitute, Paris. Developed an algorithm to build a spatial reconstitution of chromosomes from microscopy images.
Development of a smartphone application
September 1, 2014 – November 1, 2014
Created an educational application whose goal is to help student acquire vocabulary base.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from theoretical finance research to practical RFID product design and educational app development, indicates a broad intellectual curiosity and adaptability. Their experience across multiple research institutions and companies (Google DeepMind, Vicarious, MIT, Pandora) suggests an ability to thrive in various research and development environments. The focus on cutting-edge AI/ML research aligns well with a forward-thinking, innovation-driven culture.
Soft Skills & Operational Fit
The candidate's project descriptions and work history suggest strong analytical thinking, problem-solving capabilities, and a research-oriented mindset. The experience as a teacher assistant also indicates mentoring and communication skills. The Lean product development experience suggests an understanding of practical application and iterative improvement.