About me

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

A more formal introduction is at CV.

I try my best to maintain a page listing the tools I use during my psychiatry residency: TOOLS.

Open for collaborations. If anything on this page resonates, please get in touch. As of 2026 I have some time alongside my residency and I’m glad to help where I can, paid or otherwise. In the future I’m interested in pursuing a master’s and then a PhD, so I’d be glad to hear from any interested lab or team too.

Context

Since I was about 10, I’ve wanted to do psy-something. A few years later, that crystallized: psychiatrist was my ultimate dream job.

I wanted medicine and computer science both, not as a strategy but because I genuinely love both. Since no French curriculum lets you do that, I built up the coding side on my own time.

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. The same year, I created oliCorp, a one-person company (French: “auto-entreprise”). This was necessary for legal reasons when providing services to a French non-profit.

I started coding when I was about 12. I’ve always been deeply committed about open source - every time possible I make my code publicly available on my github. Here are some statistics:

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Most of what I have built started as a problem I ran into myself, and ended up public in case it helps someone else. A few examples:

  • Tinkering with high dimensional embeddings led me to create QuestEA and discuss it with researchers working on related questions. The goal being to uncover hidden patterns in medical questionnaires allowing to unify partially disjointed medical datasets.
  • To query my large collection of medical documents using natural language, I created wdoc, a RAG-based tool that can ingest dozens of file formats and recursively summarize arbitrarily long documents. It turned out to be crucial for finding official sources quickly in relatively high-stakes medical situations, and has since sparked interest among lawyers and other professionals. (To be clear: no patient data is ever involved, not even anonymized, and not even on servers I run myself.)
  • 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 a pattern-based vibration alarm to wake me up optimally 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 (besides caring for my patients)

In no particular order:

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.