The people who shape every cohort.
Mentors are the heart of the Fellowship; Pioneers are the broader constellation of founders, builders, and leading voices who stand behind the next generation.
- Mentors
- 6 · 2026
- Term
- One year
- Pioneers
- Per hub
- Hubs
- Paris · London · Stanford
Mentors.
Mentors are the heart of the Fellowship. Each year we bring together a small class of recognised figures from the AI and biology world: principal investigators, founders, and research scientists, who commit to a one-year term. They open the year with the full cohort, run small-group sessions on research and career questions, stay reachable for the occasional async question, and make the final call on selection, shaping a cohort in their image.
What mentors gain in return
In return, they gain early visibility with the best young BioAI talent in Europe and the US, their name alongside a respected and growing brand, and a natural channel for internship and PhD recruitment.
The 2026 mentor class.
One-year term
Jean-Baptiste Masson
Principal Investigator, Institut Pasteur & Inria
CSO, AVATAR MEDICAL
Chloé Geoffroy
Co-founder & CTO, Theremia
PhD, École Normale Supérieure
Cécile Badoual
Head of Pathology, Gustave Roussy
Member, French Academy of Medicine
Quentin Garrido
Research Scientist, FAIR at Meta
PhD co-advised by Yann LeCun
Jérémie Kalfon
Researcher & Co-founder, PiPle
PhD Candidate, ENS × Institut Pasteur
Nadav Rosenberg
Founder, Saras Capital
Venture Partner, Entrepreneur First
Pioneers.
Pioneers are the broader constellation of founders, builders, and leading voices shaping AI x Biology in each hub. Unlike mentors, the ask is light by design: they lend their name publicly to the Fellowship, show up at the annual flagship event, and offer Fellows the occasional introduction or short conversation. Their contribution is their signal as much as their time.
A visible network, per hub
Across Paris, London and Stanford, we're building a visible network of credible Pioneers per hub, drawn from the strongest companies and labs at the frontier, who stand behind the next generation of researchers and builders.
You.
The Fellowship exists because a few young, ambitious people met, believed the frontier of AI and biology deserved its own community, and simply started building it. Ambition is our fuel, and we want it to stay that way. So if you want to help, start a new chapter in a new city, anywhere beyond Paris, London and Stanford. Your own country, your own campus, your own city: you don't need a title or permission to begin. Bring the ambition, reach out to us, and we'll help you turn it into a hub.
Start a chapterFounders.
The people who started itAfter two years of preparatory class in biology, chemistry, and mathematics, Jeanne entered École Polytechnique to focus on artificial intelligence and health biology. She has pursued projects at the intersection of informatics and medicine, modelling biophysical random walks, clustering patient trajectories to better understand disease progression, estimating treatment effects in precision medicine, and powering Bayesian inference to estimate DNA copy numbers in tumour cells, in partnership with the Pasteur Institute, Theremia, Inria Montpellier and Columbia University. Her goal is to build interpretable methods capable of translating complex biomedical data into actionable insights. Next year, she will pursue a computational biology degree at ENS Ulm.
I'm driven by the puzzle of emergence. I think I want to leverage it in ML for Bio, through probability and information theory, statistical physics, computational chemistry, deep learning…
Suggested reading. A Path towards Autonomous Machine Intelligence (Yann LeCun), Belle du Seigneur (Albert Cohen), Algorithmic Chemistry (Walter Fontana), Ce qui échappe à l'intelligence artificielle (François Levin, Étienne Ollion), The Solomonoff Prior is Malign (Mark Xu), Noces (Albert Camus), Design for a Brain (W. Ross Ashby), Information-Geometric Optimization Algorithms (Yann Ollivier, Ludovic Arnold, Anne Auger, Nikolaus Hansen), DiscoBAX (Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab), On Neural Differential Equations (Patrick Kidger), Causal Field Theory (Arash Mehrjou, Bernhard Schölkopf), Martin Eden (Jack London), L'endormeuse (Maupassant).
Support the next generation