About me

This page is an informal introduction to me and what I’m up to.

For a formal resume, the international version is at CV and the French version at CV_FR.

Education

I took advanced math/physics/chemistry classes in classe prépa, then went to medical school during which I did a 2 months master research internship (french: “stage de M1”) at NeuroSpin creating from scratch a cluster plotting and benchmarking library for neuroscience. In 2025 I started medical residency in psychiatry in Paris, France.

I started coding when I was about 12. I’m passionate about open source - most of my code is publicly available on my github. Here are my stats:

I have experience working in collaboration and autonomously: I had the opportunity to build innovative solutions from scratch and make them freely available. Examples of my self-motivation include:

• To search across my diverse medical corpus dataset with natural language query I created wdoc. The innovative summarizer feature was added to save me time catching up on the news.
• Tinkering with high dimensional embeddings led me to create QuestEA and pitch it to renowned researchers. The goal being to uncover hidden patterns in medical questionnaires allowing to unify partially disjointed medical datasets.
• Tinkering with AI interpretability led me to fork the repeng library to test various high dimensional vector modification techniques to steer its behavior.
• Getting frustrated with my sleep, I created from scratch SleepTk, a sleep tracker app for an open source smartwatch with an innovative pattern-based vibration alarm to wake me up gently and without waking up my partner. After years of use I organized a bug bounty to rewrite it in C on an optimized OS to get a much better battery life. Still using it every night.
• More at PROJECTS.

Interests

My core interest has always been around neuroscience with a focus on psychiatry.

Circa 2015, I got interested in AI/ML so naturally I’m heavily drawn towards computational psychiatry.

I’m excited about how AI research will advance psychiatry research, improving patient’s lives for the better.

At the same time, clinical observations from psychiatry could inform more robust and interpretable AI systems that better serve human needs.

Things I love

• Medicine, obviously.
• Open source software/hardware (even this website).
• When building blocks I’ve participated in have positive compounding effects.
• Applying the Golden Rule.
• Repairing stuff.
• Robust, distributed, decentralized systems.
  • More

    • I have a deep fascination for emergence and self-organization
    • The former essential, I think, to understand counsciousness. And the latter is very connected to my interest in distributed and decentralized systems (e.g. AT Protocol, Reticulum, PRIME-IROH, edgevpn, Nostr, Conflict-Free-Replicated-Data-Type, ...).
    • In my view, both are deeply linked to neuroscience and will be useful to help patients.
• Encryption-by-default and privacy respecting tech.
• Self hosting my own services.
• Reading HackerNews.

Other

Bug Bounties Payment Track Records

I actively support open source development through bounty incentives and community contributions:

1. Porting my SleepTk app from a micropython-based OS to a C-based device.

2. Adding highlights on the mobile webapp for Karakeep.

3. Additional bounties are underway.