Ziv Ilan works with AI labs at NVIDIA, where he previously served as a Senior Solutions Architect. With a background spanning software engineering, electrical engineering, and computer science, he helps research teams architect and scale the systems behind their AI models, bridging cutting-edge research with the infrastructure that brings it to production.

Stanislas is the co-founder of Dust, a platform that enables enterprises to build and deploy AI agents powered by internal data (Salesforce, GitHub, GSuite) and actions (MCP).

Previously, he co-founded TOTEM in 2011, a data analytics company acquired by Stripe in 2014. He then joined OpenAI as a research engineer (2019-2022) on Greg Brockman's team, tackling AI reasoning and co-authoring papers with Ilya Sutskever on formal mathematics and automated theorem proving. 

Before joining Fundamental, Kevin was a research scientist at Inria Paris and a part-time Associate Professor at École Polytechnique. His research in machine learning spans from theoretical advances in key aspects of deep learning, including robustness, decentralized learning, and training via non-convex optimization, to practical implementations of graph neural networks extending their expressive power and robustness. Previously, he led an optimization-for-ML research team at Huawei’s machine learning lab in Paris and received a NeurIPS 2018 Best Paper Award for his work on distributed optimization.

At Fundamental, Kevin is part of the research team and focuses on extending the capabilities of tabular foundation models, bringing his experience in structured data, optimization, and scalable learning to build models that can reason about tabular data and take advantage of their complex structure.

David holds a PhD in theoretical physics, specializing in quantum gravity. He worked at Saint-Gobain, first on machine learning and then as a project leader across several R&D efforts in materials science. In 2018, he went on to become scientific director at the video game company Ubisoft, where he explored the interplay between science and game design, notably integrating large language models (LLMs) into non-player characters. In 2025, he joined Hugging Face, working on open science in language models and robotics. He also created "Science Étonnante", a science outreach Youtube channel with more than 1.5M subscribers.

Ian Massingham leads Applied AI for startups across EMEA at Anthropic, where he and his team help founders & startup engineering teams build production AI products on Claude. He brings two decades of experience spanning engineering, developer relations, and go-to-market leadership.

Previously, Ian was an early team member at Griptape, a startup focused on generative AI in visual effects, and served as CMO at Aiven, the Finnish open-source data infrastructure unicorn. Prior to that, Ian spent several years at AWS leading developer relations and solutions architecture, helping hundreds of thousands of developers adopt cloud and AI technologies.

Today he works closely with Europe's fastest-growing AI-native startups, advising technical leaders on how to move from prototype to scaled deployment. Ian is a frequent speaker on applied AI, developer ecosystems, and what it takes to build durable companies on frontier models.

Developper Relation Engineer at Mistral AI, Helping developers get started in the Mistral ecosystem. Previously a Machine Learning Engineer at Hugging Face getting and customizing AI for companies and getting people up to date with agents (agents course, transformers agents).

Gaëtan is an AI Manager at Doctolib. Together with his team, he works closely with the AI Lab to enhance models through various retrieval and post-training approaches. He has contributed to several open-source initiatives in NLP, computer vision, and optimization.

Previously, he served as an AI Research Engineering Manager at Institut Polytechnique de Paris and also worked at NYU and Amazon. His main areas of interest include foundation models and multimodal systems.

Software Engineer at Mistral AI, one of the world’s leading open-source AI companies. Henry contributed to numerous open-source projects to explore the world of tech.
Worked at Criteo, a leader in retargeting and retail media, and Datadog, the global leader in observability and alerting.

Patrick Brosset is a developer relations PM at Microsoft Edge and a passionate web platform contributor who has spent over two decades building web apps and improving interoperability, developer experience, and developer tooling across Firefox and Chromium.

Guillaume Vernade is a seasoned technology professional with a passion for building impactful solutions across a wide range of industries. His career began in the fast-paced world of wearable tech, where he prototyped applications for Google Glass and the first generation of Android watches, gaining invaluable experience in user interface design and emerging technologies. Recognizing the importance of effective product development, Guillaume transitioned into roles as a Product Owner and Agile coach, guiding teams to deliver high-quality software and fostering collaborative environments. He also pursued his long-held dream of becoming a video game producer, honing his skills in project management, creative direction, and team leadership. Now, Guillaume is leveraging his diverse skillset to make a significant impact in the field of Artificial Intelligence, driven by a desire to create intelligent systems that improve people's lives.

Christian is Product Lead for AI Research at Meta Superintelligence Labs, working on generative AI, world models, and reasoning. Before Llama 3, Llama 4, Muse, and AI agents, Christian led product for PyTorch, launching PyTorch 2.0 and ExecuTorch. His work has brought AI at scale to the open source community and to billions of people through deployments across Wearables and Meta apps. A three-time startup founder and investor, he holds an MBA from Stanford and MS degrees from Georgia Tech and CentraleSupélec.

Maxime graduated from École Polytechnique before earning a PhD in AI from École Normale Supérieure, where he specialized in generative AI for drug discovery. He later joined H’s research team, where he works on the research and training behind Holo, H Company’s series of generalist agentic models.