Career Profile
Hi, I’m a PhD student specializing in the use of evolutionary methods for the optimization of neural networks as intelligent agents. I recently graduated as an ISAE-SUPAERO engineer, and have been honing my coding skills on multiple side projects for the last decade.
Work Experiences
PhD topic: Evolutionary strategies for neural policy search.
Application: game-playing, control tasks, Reinforcement Learning
Intern co-supervision: Tarek Kunze on GENE encoding extension.
Published work: see Publications
Visiting student at Antoine Cully’s Adaptative & Intelligent Robotics Lab (AIRL) at Imperial College London to work on evolution strategies for policy search applied to robotics, and on the combination of evolutionary methods with reinforcement learning.
Research internship on neuroevolution (evolution of neural networks with genetic algorithms)applied to video games.
Optimizing artificial neural networks with evolutionary algorithms
Ranked first in the GECCO 2020 competition on evolving a DOTA 2 bot.
Internship subject: current and future uses of AI for cybersecurity intrusion detection & response. Developing a PoC of Machine Learning for anomaly detection in a Security Operation Center. Other missions: EBIOS risk analysis, impacts on cybersecurity of emerging technologies.
Elected mandate as Students Representative on the ISAE-SUPAERO board.
Leading high-stake international projects with long-term implications in an AI-focused startup. Structuring internal processes and implementing management KPIs.
Continuous improvement of ISAE-Supaero’s Junior-Entreprise processes, developing tools in Excel / VBA. Member of the Strategic Guidance Board until 2021.
Elected mandate as CPGE Students Representative on the board of Lycée J-B Say.
Education
Masters in general engineering, applied to aerospace problems. Specialized in Data Science (major) and Robotics (minor). Research projects:
- Deep Learning to solve NP-hard problems
- Deep Reinforcement Learning for human-machine cooperation.
Additional MSc coupled with the Data Science specialization with classes on:
- Optimization,
- Advanced combinatorial optimization
- Stochastic and evolutionary methods
Preparation for national competitive exams leading to French “Grandes Ecoles”.
Ranked (among 2556 candidates):
- 28th at “Concours Commun Mines-Pont PT”
- 33rd at “Concours Centrale-Supélec PT”.
Publications
Peer reviewed:
Blog articles:
Teaching
Teaching python to students in the FISA program:
- Basics of Python and algorithms
- 3D representation of planet movements
- Introduction to embedded systems with Micro:Bit
Python class for students from the Master of Science in Aerospace Engineering.
Introduction to Bash, Git and Python for students in the last year of the MSc Eng. program.
Elective module on evolutionary computation for students in their 1st year of MSc Eng. I supervised group projects for the evaluation of the module and gave 3 classes:
- Evolution of neural networks
- Genetic representation and operator design
- Quality-diversity approaches, evolution of behavior, coevolution
Teaching python to students in the FISA program:
- Basics of Python and algorithms
- 3D representation of planet movements
- Introduction to embedded systems with Micro:Bit
Elective module on evolutionary computation for students in their 1st year of MSc Eng. I gave 2 classes of the module:
- Evolution of neural networks
- Quality-diversity approaches, evolution of behavior, coevolution
Projects
Here are some of the recent projects I worked on, either during my PhD or my Masters degree, or as personal side projects.
Talks
Regional finals of the MT180 competition, where PhD students have 3 minutes to explain their research topic to a broad public.
Presenting our GENE paper at GECCO 2021. The video was pre-recorded.