Léonard Boussioux
Artificial Intelligence Researcher Consultant at OXMAN- Claim this Profile
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Experience
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OXMAN
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United States
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Design Services
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1 - 100 Employee
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Artificial Intelligence Researcher Consultant
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Jun 2023 - Present
New York, New York, États-Unis
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Massachusetts Institute of Technology
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United States
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Higher Education
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700 & Above Employee
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Research Assistant
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Sep 2019 - Present
Région de Boston, États-Unis • Advisor: Prof. Dimitris Bertsimas • Research Area: Time Series Forecasting, Ensemble Modeling, Multimodality, Interpretable and Robust Deep Learning • Applications: Healthcare, AI for Social Good, Tackling Climate Change, Wildlife Monitoring
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MIT Sloan School of Management
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United States
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Higher Education
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700 & Above Employee
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Teaching Assistant
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Aug 2020 - Present
Cambridge, Massachusetts, États-Unis • Received 3 teaching awards, including the Goodwin Medal, MIT's highest teaching award for a student • MIT 15.076 | Analytics for a Better World, Teaching Assistant • MIT 15.095 | Machine Learning under a Modern Optimization Lens, Teaching Assistant • MIT 15.003 | Analytics Tools, Instructor • MIT 15.060 | Data, Models, and Decisions, Teaching Assistant • MIT 15.S60 | Computing in Optimization and Statistics, Instructor
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X, the moonshot factory
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United States
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Research
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400 - 500 Employee
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AI Resident
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May 2022 - Aug 2022
Mountain View, Californie, États-Unis
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Mila - Quebec Artificial Intelligence Institute
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Canada
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Higher Education
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300 - 400 Employee
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Deep Learning Researcher
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Jan 2019 - Sep 2019
Montreal, Quebec, Canada • Advisor: Prof. Yoshua Bengio • Research Area: Reinforcement Learning, Imitation Learning, GANs, Grounded Language Learning, AI for Social Good • Identified the False Negatives problem in adversarial imitation learning and improved BabyAI sample efficiency by 10-100 times. • Developed beta version of mobile app to help visualize the effect of climate change and crowdsource natural disasters pictures.
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University of California, Berkeley
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United States
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Higher Education
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700 & Above Employee
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Visiting Scholar
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Aug 2018 - Jan 2019
Région de la baie de San Francisco, États-Unis
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Laboratoire de l'Accélérateur Linéaire
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France
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Research Services
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1 - 100 Employee
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Machine Learning Researcher
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Jun 2018 - Aug 2018
Région de Paris, France • Advisor: Dr. Balázs Kégl • Research Area: Computer Vision, NLP, Encoder-Decoders, Collaborative Workflow • Built app to automatically transcribe handwritten maths into LaTeX documents and adapted AI pipeline into data-science challenge.
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Machine Learning Engineer
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Sep 2017 - Jun 2018
Orsay • Creation of deep-learning algorithms in Python to identify species of insects on photos • Creation of an app using this algorithm to allow everyone to take a photo of an insect and get its species : 50k+ downloads on Playstore • Paper accepted at ICML, ICCV and Montreal AI Symposium 2019 • Awarded by "La Recherche and Sciences et Avenir" and "Association des Centraliens" as a project enabling the protection of natural heritage
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ODDO BHF
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France
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Banking
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700 & Above Employee
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Innovation Consultant
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Sep 2017 - Mar 2018
Région de Paris, France
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HEC Paris
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France
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Higher Education
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700 & Above Employee
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Lecturer
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Jun 2017 - Jun 2017
Région de Paris, France
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Astarté
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Italy
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Research Services
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1 - 100 Employee
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Product Manager
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Nov 2016 - Jun 2017
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CollectivZ
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France
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Professional Training and Coaching
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1 - 100 Employee
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Product Manager
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Sep 2016 - Jun 2017
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Education
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Massachusetts Institute of Technology
PhD, Machine Learning, Operations Research -
University of California, Berkeley
Computer Science and Industrial Engineering -
Ecole Centrale Paris
Diplôme d'ingénieur (Master of science), Computer science, Applied Mathematics -
Lycée Louis-le-Grand
Preparatory classes MPSI / MP* : Mathematics, Physics, Computer science, 4.0/4.0 -
Lycée Aristide Maillol
Baccalauréat, Scientifique