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Education
- Specialized Studies Diploma (DES) in Psychiatry - since 2025
- Paris Cité University, Paris psychiatry
- Validation of the optional neuropsychiatry seminar “Neuro-psychiatric approach to behavioral disorders”, Pr Philippe Fossati, Pitié-Salpêtrière University Hospital (Paris) - 2026
- Master’s degree (M1), 2019-2025
- Health Research Track, Neuroscience, Genetics, R programming, Paris Cité University
- Reviewers: Dr Anton Iftimovici (MD-PhD), Dr Estelle Pruvost-Robieux (MD-PhD), Dr Adeline Alice Bonnard (MD)
- General and Advanced Medical Sciences Degree - 2016-2025
- Preparatory Class for Grandes Écoles - 2015-2016
- Carnot High School, Physics Chemistry section (PCSI-PC)
Internships & Experience
- NeuroSpin, UNICOG team of Pr Stanislas Dehaene, subteam led by Pr Béchir Jarraya, Gif-Sur-Yvettes, France - 2022
- Master’s internship: computational modeling of consciousness states via fMRI, Python library development, Machine learning, High-dimensional data clustering
- Dartmouth College (Ivy League), Pr Chris AMOS, Hanover, NH USA - 2015
- One-month internship at Geisel School of Medicine, R programming, cf publication
Skills
Computer Science
- AI LLM (pytorch, scikit-learn, huggingface, …), agents (LangChain, DIY), interpretability (representation engineering), embedding-based search (RAG, wdoc), image generation, ASR/STT finetuning
- Machine Learning and big data (PCA, T-SNE, UMAP, TFIDF, numpy, pandas, regexp, complexity, optimization)
- Unix proficiency (GNU/Linux, OSX), algorithmic complexity, advanced shell concepts (zsh/bash), vi/vim/neovim, regexp, sysadmin (self hosting, databases, sizing, resource estimation, specifications), Interfaces (GUI/CLI)
- Collaboration software proficiency (git, Jupyter Notebook, markdown)
- Strong commitment to Free/Open Source Software (top ~2.3% on Github, 2024-26 pre- & post-AI, 7k+ PyPI downloads/month, InterHop, DataForGood)
- Web stack and knowledge in other languages and domains (SQL, Javascript, lua, HTML/CSS)
- Hardware knowledge (soldering, server assembly), embedded systems (micropython, smartwatch)
Language
- French native
- English level C1/C2 (more than 3 cumulative months in North America)
- Spanish level A2
- German level A1-A2
Other
- Technical & Innovation Advisor at Société Nouvelle des Cycles Cavales (ecological intermediate mobility) - since 2024
- Driver’s license (category B) - 2015
Publication
Li, Y., Byun, J., Cai, G. et al. FastPop: a rapid principal component derived method to infer intercontinental ancestry using genetic data. BMC Bioinformatics 17, 122 (2016). https://doi.org/10.1186/s12859-016-0965-1
Online Training
- Inria - 2021
- Reproducible Research: Methodological Principles for Transparent Science
- Bioinformatics: Algorithms and Genomes
- Python 3: From Fundamentals to Advanced Language Concepts
- HuggingFace : Natural Language Processing Machine Learning Course - 2021
Personal Interests
- Organizer of in-person meetups for an online community focused on AI risks and rationality
- Cinema enthusiast, locks, film photography, sports