Hi, my name is Damien GRASSET. I'm a french and freshly-graduated engineer working in the field of AI and currently based in Montreal. I've always been interested in mathematics and computer sciences on the one (academic) hand, as well as in video games and robots on the other (informal) hand. Reinforcement Learning appeared to me a few years ago as a perfect field at the junction of what I like (and what I was good at, academically at least). I don't consider myself a geek, even though I spend a non negligeable part of my days in front of a screen (be it at work or at home), I'm also a huge fan of football (soccer for canadians, even if they're wrong) which I practiced and still practicing a lot. Last but not least, I'm also a music lover, playing guitar and piano in my spare time.
Curriculum Vitae
Work Experiences
March 2020 -
July 2023
Data Scientist at IRT Saint-Exupery Canada, Montréal
Explainable Reinforcement Learning and Causality
(1) Part of the DEEL Project (Dependable, Certifiable Explainable Artificial Intelligence for Critical Systems) to work on the questions of explainable reinforcement learning and causality.
(2) Developed an Object Detection/ Threat Detection algorithm for aerial images as a 6-month third-party project.
Publications:
- Causal Reinforcement Learning using Observational and Interventional Data, M. Gasse, et al.
- Autonomous drone interception with Reinforcement Learning A. Gauffriau, et al.
June 2019 -
Dec 2019
Research Intern atIRT Saint-Exupery,Toulouse
Human Intervention in Reinforcement Learning
Join the DEEL Project to study the question of human intervention and interaction in the reinforcement learningprocess. End-of-studies internship.
March 2018 -
Sept 2018
Machine Learning Intern at Therapy Box, London
ML with HealthCare and Audio Data
Six-month internship in a specialist app development company that creates apps for communication, education andhealthcare. Worked on a NHS Project – Detection of developmental language disorder among kids between 5 and 8 based on audio recordings and grammar features - and on a phoneme-based Speech Recognition engine aimed athelping kids with articulation difficulties.
Sept 2017 -
March 2018
Data Scientist Intern at La Caisse des Dépôts et Consignations, Paris
NLP in an Asset Management Team
Six-month internship as a Data Scientist within the asset management team doing text analytics with Python, implementation of Machine Leaning algorithms applied to NLP as well as the development of security selection toolsby an unstructured data approach with an automatic classification system.
Summer 2016
Junior Data Scientist intern at Shortouch,Pari
Social Network and Scoring
Young innovative French startup in the Big Data and Digital Industry. Worked hand in hand with the CTO on data extraction and analysis, developed new scoring methods and handled the computer language R and database Neo4J.
Education
2018-2019
Master of Data Science at Paris-Saclay University - Polytechnique, Telecom, ENSAE
Relevant courses: Advanced Machine Learning, Deep Learning, Optimization, Reinforcement LearningAdTech, Advanced Learning for Text and Graph Data, Statistical Learning.
2015-2019
Master of Engineering in Data Science at ENSAE ParisTech, Paris
Engineering French “Grande Ecole” Cursus at the ENSAE ParisTech (Specialized in Statistics, Data Science)
Relevant courses: Statistical Learning, Text Analysis, Computer Science, Machine Learning, EconometricsBayesian Statistics, Stochastic Process.
2013-2015
Preparatory Classes MPSI-MP* at Lycée Saint-Louis, Paris
Relevant courses: Mathematics - Analysis, Algebra, Topology, Probability -, Physics, Computer Science.
Important Cities
Paris -
- 2018
Born and raised. I've always thought I was going to spend my entire life there but travelling abroad quite change my mind on this. Paris remains the most beautiful city i've visited so far (in all objectivity), but it is certainly not the place where one can have the healthiest lifestyle. I still think I will end up settling here one day though.
London -
2018
I lived in London for 6 months, working as a machine learning engineer at Therapy Box. I fell in love with this city for a bunch of different reasons that I'm won't list here, it would be too long. One thing I recommend though it to experience living in a country where the language is different from your mother tongue. It is something you can really learn and grow from.
Montreal -
2020 - 2023
I arrived in Montreal two weeks before the pandemic hit Canada. Unsurprisingly, my experience in Canada was not what I had imagined when I applied for a work visa two years ago. However, I consider myself quite lucky : first of all to have been able to travel and settle there just before the borders closed, and secondly Montreal turned out to be a really pleasant city to spend this difficult time. I'm still waiting for my social life to start for good though ..