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Our speakers

Pauline Pham oversees business operations and strategic growth at Dust, a Sequoia-backed AI startup building workplace AI agents from SF and Paris. She leads hiring and organizational scaling as Dust expands across Europe and the US. Prior to Dust, Pauline worked in operational roles at fast-growing technology and strategy companies. She is passionate about building impactful products and empowering everyone with the power of AI.

From single agents to agent fleets: lessons from building Dust's agentic platform

Benchmarking the frontier: what really matters in the new AI stack

Sophie Monnier is Partnerships Lead at InstaDeep (now part of BioNTech), where she works on building collaborations around applied AI in domains such as biology, mobility, and energy. Previously, she served as Chief Scientist and Senior Data Scientist in multiple startups, where she led projects from machine learning APIs to real-time computer vision systems, and gained hands-on experience bringing models from research to production.

Sophie is also the founder and president of X-IA, the École Polytechnique alumni group on AI, one of France’s most vibrant AI communities with 1,700+ members and 25+ high-level events spanning Deep Learning, MLOps, GenAI, and applied research-to-production workflows.

Her work bridges hands-on Machine Learning practices, startup experience, and ecosystem building in the French and European AI landscape.

I’m a Group Product Manager at VEED.IO, where I work on making video creation as easy and intuitive as possible through AI. I’m passionate about designing experiences that make creativity feel effortless and empower people to express their ideas visually.

From edge inference to generative pipelines: building video AI that works

Thomas Palomares is the team lead and AI Research Engineer for Centaur at Helsing. Centaur seamlessly integrates advanced AI pilots into the cockpits of existing and future fighter aircraft, transforming the precision, speed, and adaptability of modern air forces. Thomas's work focuses on leveraging scaled RL to evaluate dynamic combat situations, formulate tactics, and execute complex maneuvers in real-time, achieving human-level performance in air combat

Prior to Helsing, Thomas co-founded and served as CTO of FarmWise (2016-2024), developing autonomous agricultural robotics recognized by Forbes 30 Under 30 and TIME's 100 Best Inventions. He holds a Master's from Stanford University and studied Applied Mathematics and Computer Science at École Polytechnique, bringing deep expertise in machine learning, robotics, and real-time systems.

The first AI flying a production fighter jet

Dam Mulhem graduated from the Institut Supérieur des Techniques du Son and began his career in the media industry as a Sound and Image Engineer. He then joined Apple, where he took on the role of Training Manager.

In 2015, Dam co-founded XXII alongside William Eldin, taking on the position of Product Director, where he has been shaping innovative solutions at the intersection of technology and creativity.

Olivier Reynaud has been exploring the creative infrastructure of tomorrow for over a decade.

After co-founding Teads (which became the global leader in programmatic video), he co-founded Aive in 2019 alongside Rudy Lellouche (ex-Adyoulike) with a radical thesis: creativity is no longer a handcrafted process — it’s an augmented, measurable, and scalable force. With MGT (Multimodal Generative Technology), Aive merges analytical and generative AI into a single pipeline — recreating content that preserves its original intent while adapting seamlessly to different contexts. This is transcreation, not versioning — the antithesis of closed, hallucinatory models.

A creative mind obsessed with execution, Olivier champions a responsible, European-born AI that is GDPR-native, AI Act compliant, and relies on zero external APIs.

Aive has raised over €25 million since its inception and now serves dozens of clients across France and the U.S., including L’Oréal, Stellantis, P&G, TF1, Publicis, IPG, and Meta.

His conviction: the future of video won’t just be generated — it will be transcreated.

That’s what he calls Creative Intelligence.

I'm a Product Manager at Scaleway and lead the development of their environmental footprint calculator. This calculator provides real-world usage metrics for cloud infrastructure CO₂ emissions and water consumption. With an engineering degree and technical experience as a former developer, I bring a methodical and practical approach to creating tools that help developers and DevOps teams make informed and sustainable decisions.

Driven by curiosity and sustainable development, my work aims to provide transparent and actionable information to cloud users.

Dr. Antoine Jardin serves as Chief Technology Officer of Arlequin AI, bringing exceptional expertise in algorithmic and statistical sciences to the role. An accomplished engineer and data scientist from CNRS (French National Centre for Scientific Research), he holds a doctorate in algorithmic and statistical sciences.

His influence extends to the national level, having contributed to the definition of France's 2018 National AI Strategy and the implementation of the Jean Zay supercomputer, one of France's most powerful computing resources. These contributions have helped shape the country's artificial intelligence infrastructure and strategic direction.

Prior to his current position, he served as Technical Director of the Radicom project, a notable collaboration between Princeton University and the World Bank.

Inductive learning, AI safety, and superintelligence in the age of disinformation

Mathematical physicist by training, researcher at the crossroads of machine learning, geometry, topology, and high-performance computing. Currently Chief Technology Officer at Giotto.ai, where he leads a team of researchers and engineers pushing the boundaries of AI systems. A strong advocate of open-source collaboration and scientific outreach, he believes that transparency and shared knowledge are essential to sustainable innovation.

ARC-AGI a secret sauce for reasoning LLMs?

Gaël Delalleau is the founder and CEO of Kog, a European VC-funded startup and real-time AI frontier lab. With a world-class team of 15 engineers and PhDs, he is unlocking the future of AI use cases by building optimized inference engines and training new models architectures that achieve 100x faster token generation.

With a strong engineering and research background as an École Polytechnique graduate, he previously built a handful of web, gaming, optimization, machine leaning and cybersecurity products at several startups and consulting companies.

Real-time AI: building 100x faster inference

As co-founder of Molia, I help companies build secure AI agents that assist their teams. Molia creates custom AI solutions tailored to enterprise needs, ensuring both performance and security.

My background spans a decade in AI: master's at Télécom Paris (2015), five years as Data Scientist and Head of Data at tech startups, then co-founded Emil—a data and AI training platform acquired by Le Wagon. I also founded GAIN (Generative AI Network), France's leading GenAI community with 1,200+ technical experts, and host Paroles d'IA, a podcast exploring enterprise AI use cases.

I'm passionate about making AI accessible and actionable for businesses ready to transform their operations.

I'm a Solutions Architect with a focus on LLM-based applications. I lead the AI Team at SOFTIQ, turning ideas into real AI solutions. I work hands-on with clients to design products that meet their needs and deliver quick Proof of Concepts to get things moving fast. My experience includes RAG pipelines, agent systems, and working with open source language models, including those for underrepresented languages like Polish.