🎓 AI & Applied Mathematics PhD Candidate at ENS–PSL
🧠 Researching cognitive modeling, machine learning, and decision-making systems
💼 AI Advisor & Board Member in technology and media companies

I study how humans (and agents) make adaptive decisions under uncertainty.
My work blends:

• Applied mathematics (PDEs, stochastic modeling)
• Machine learning & deep learning
• Cognitive science & behavioral modeling
• Multi-agent systems (LLMs and coordination)

I aim to develop interpretable, mathematically grounded, and generalizable models of executive function and exploration–exploitation dynamics.

• Training dynamics of LLM multi-agent systems
• Scientific computing & optimization
• Representation learning
• Probabilistic modeling
• Decision-making under uncertainty

I enjoy reverse-engineering intelligent behavior and using math to solve real-world problems.

Python (numpy, scipy, pandas, PyTorch, scikit-learn)
OCaml, C, Java, SQL, JavaScript
Scientific tooling: PsychoPy/PsychoJS, nilearn, LaTeX
Systems: Linux, Arch, NixOS, networking, robotics

I compose film and media music (classical, jazz, contemporary) and perform:

• Piano, violin, trumpet (ENS Brass Band)
• Lyric baritone

Teacher and choreographer in:

• East-coast swing
• Waltz

I also dance Tango, Salsa, Polka, 4-steps rock and West-coast swing.

Dance informs my interest in coordination, communication, and feedback loops between agents.

Level Galop 5, interested in the embodied intelligence of the horse-rider system:
balance, anticipation, and subtle communication — concepts that echo in my research.

Founder of the ENS Writing Club.
Clear, concise communication is essential when conveying complex ideas.

I’m always happy to discuss:

• Machine learning research
• Cognitive/neuroscientific modeling
• AI strategy & responsible deployment
• Music Projects, including film scoring and audiovisual projects

📫 Feel free to reach out:
[email protected]