Yann Lechelle
Yann Lechelle is a tech entrepreneur and executive, co-founder and CEO of Probabl, an INRIA spin-off focused on scikit-learn, whose mission is to globally distribute open source solutions in data science and machine learning.
Previously, he was CEO of Scaleway, a public cloud provider with unique European values, and a challenger to AWS, Azure, and Google Cloud. Over the past decades, he has founded and developed numerous tech companies, including Snips.ai, a leading company in voice processing and embedded AI, which he led from the seed stage to its acquisition in a commercial sale to Sonos, a pioneering smart speaker company listed on Nasdaq.
Yann is also co-founder of France Digitale, board member and VP ecosystem of HUB France AI, as well as board member of the One-o-One endowment fund and JEDI (Joint European Disruption Initiative). He contributes to the community as an angel investor, mentor, entrepreneur in residence at INSEAD, and Cloud and AI expert for the Collège Numérique France 2030 under the Secretary General for Investment under the authority of the Prime Minister.
Yann holds a Bachelor of Computer Science summa cum laude from the American University of Paris, as well as an MBA from INSEAD.
Session
Challenges in economics and governance models for open-source scientific projects
In this presentation, the CEOs of two companies at the forefront of open-source scientific software development - Sylvain Corlay of QuantStack and Yann Lechelle of Probabl - examine the intricate challenges of open-source funding and governance and reflect on how these two aspects interconnect.
We start by reflecting on the origins of the open-source movement within the scientific community, and delve into the contemporary challenges of operating businesses and identifying sustainable economic models that both leverage and contribute to open-source software.
In particular, we highlight the unique approaches and experiences of QuantStack and Probabl, which primarily contribute to multi-stakeholder scientific projects such as scikit-learn, Jupyter, Apache Arrow, or conda-forge.