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🎙️ From Molecules to Machine Learning: How AI Is Transforming Drug Discovery - Season 1, Episode 7 — with Frédéric Célerse How do you shrink a multi-month quantum chemistry calculation into a few days? In this episode, we explore the power of augmented intelligence in drug discovery with Frédéric Célerse, researcher, boundary-breaker, and firm believer that good science starts with great data. Join host Thibault Géoui as we dive deep into: 🔹 Why Frédéric says AI is more like augmented intelligence than artificial 🔹 How molecular dynamics and quantum modeling are being accelerated by machine learning 🔹 What AI can (and can’t) do alone, and why human insight is still irreplaceable 🔹 Real-world tensions between AI and wet-lab scientists, and how to build true interdisciplinary teams 🔹 The data trust gap in life sciences and why data governance might be the unsexy hero of innovation 🔹 Why publishing models need to evolve for a faster-moving AI world (yes, we’re looking at you, Nature) 🔹 And what advice Frédéric gives to students stepping into this fast-changing field If you’ve ever wondered what it really takes to bridge AI with chemistry, biology, and pharma, and why being curious, collaborative, and data-savvy is key, this episode is for you. 💡 Like what you hear? Subscribe to the podcast, leave a review, and follow us for more honest conversations at the frontier of tech and drugs.