Women in AI Conference
Diverse minds build better solutions. Join us to hear from the women building AI that matters.
AI is reshaping the world's most critical fields - from healthcare to the environment to defence. When half the talent pool is underrepresented, the solutions suffer. On April 23rd, hear from the women at the forefront of it.
Event Details
Date: April 23rd, 2026
Time: 18:00 CET
Venue: Paris 9
Agenda
[18:30] Opening by Antoine Bordes, Chief Scientist, Helsing (our alumni form CNRS! 😉)
Antoine Bordes is Chief Scientist at Helsing. Before joining Helsing, he served as Director of AI Research at Meta's FAIR labs, where he led foundational work in natural language processing and machine learning. He is a recipient of the AAAI Classic Paper Award.
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[18:40] Keynote by Nathalie Salles-Olivier, People and Culture Leader | PhD research on Human-AI Collaboration
Women hold around 22% of roles in AI, and fewer than 14% of senior positions. The gap is well documented. The reasons behind it are less so.
Nathalie Salles-Olivier's research identifies six compounding mechanisms that drive this imbalance - from how feedback is given, to how potential is assessed and how opportunities are allocated. Each stage reinforces the next.
Drawing on 20 years of HR practice, doctoral research on bias in AI systems, and direct technical knowledge of the field, Nathalie shows how these patterns operate as systemic blind spots rather than individual failures - and what each of us can do, regardless of role or seniority.
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[19:10] Round table: Building AI that matters
Charlotte Caucheteux (Deepmind Healthcare) -- Charlotte is a Research Scientist at Google DeepMind, where she is building a team working at the intersection of AI and healthcare. She graduated from École Polytechnique and completed a PhD with Inria and Meta. She then worked at Meta, contributing to LLAMA long context and tools capabilities.
Jade Copet (Facebook AI) -- Jade is a Tech Lead Manager at Fundamental AI Research (FAIR) at Meta. She began her journey in fast-paced startup environments, working in machine learning R&D, where she built a strong foundation at the intersection of research and real-world applications.
Driven by a passion for pushing the boundaries of AI, she joined FAIR, where she has led cutting-edge projects in audio generation and, more recently, in code generation, exploring how machines can create, understand, and assist at scale .
Morgane Rivière (Mistral AI) -- Morgane graduated around ten years ago in applied mathematics. After two years working as a research engineer on computational photography, she joined FAIR, Fundamental AI Research, where she spent four years focusing primarily on unsupervised audio and contributing to the open sourcing of several datasets, including Librilight and VoxPopuli.She then joined Google Deepmind four years ago, where she has mainly worked on Gemma, as one of the leads. She recently joined Mistral AI.
Emilie Wirbel (Helsing) -- Emilie is an accomplished engineer in embedded perception and robotics, bridging ML and software engineering. She holds a PhD in robotics from Aldebaran (NAO/Pepper localization). Emilie industrialized deep learning for autonomous driving at Valeo (lane detection to end-to-end systems) and led robotics for warehouse automation at Nvidia. She currently optimizes ML detection models for reconnaissance drones at Helsing.
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[20:00] Cocktail & Networking
Staff