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🎙️ From Molecules to Machine Learning: How AI Is Transforming Drug Discovery - Season 1, Episode 7 — with Frédéric CélerseHow 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 fieldIf 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.
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🎙 Tech and Drugs - Episode #6 with 🏛📊 Marilia Aires from Kiin AI is now live!The theme for today: AI, Data Ethics & The Legal Challenges in Drug DiscoveryIn this episode, we dive into the legal frontier of AI in healthcare with Marilia Aires, legal counsel and data protection officer at Kiin AI. With 16+ years of experience across global legal landscapes, Marilia is at the intersection of law, data ethics, and biotech, helping organizations navigate the legal and ethical minefield of AI-driven drug discovery.We explore:✅ Who owns the data? Understanding data privacy, IP, and regulatory frameworks✅ GDPR, AI Act & Pharma: How Europe’s AI laws impact biotech innovation✅ The challenge of high-risk AI models in drug R&D and how companies navigate regulations✅ Data contracts & AI governance: Ensuring compliance while fueling innovation✅ Future trends in biotech AI: Personalized medicine, real-world data, and global data governanceWith AI reshaping everything in life sciences, from clinical trials to personalized treatments, Marilia breaks down the biggest legal and ethical questions companies must answer before deploying AI solutions.💬 What’s your take on AI regulation in pharma? Are current laws helping or hindering innovation? Drop your thoughts in the comments!
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Here it is 🎙 “Tech and Drugs - Podcast” Episode #5 with 🤖💊 Nicolas Maignan is now live! The theme for today: Rethinking Drug Discovery Through AI & PolypharmacologyIn this episode of Tech and Drugs, I sit down with Nicolas Maignan, the AI expert and COO at Kantify, who’s redefining drug discovery with a fresh, data-driven perspective. With a background in industrial engineering and over seven years of hands-on experience in machine learning, Nicolas shares his journey from consultancy to revolutionizing R&D in healthcare—challenging the outdated one-drug, one-target dogma and championing a polypharmacological approach.We cover:✅ How Nicolas transitioned from industrial engineering to AI-powered drug discovery✅ The limitations of the one-drug, one-target paradigm and why it’s time for a change✅ The promise of polypharmacology: targeting multiple pathways for more effective treatments✅ Overcoming R&D challenges with big data and heterogeneous datasets✅ Future trends in pharma, including the rise of AI-first companies in tackling rare diseasesWhether you’re a tech enthusiast, a life sciences professional, or just curious about the future of drug discovery, this conversation is packed with insights to inspire and inform.💬 What are your thoughts on shifting from single-target to multi-target drug development? Drop your views in the comments!
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🎙 Tech and Drugs - Episode 4: Navigating Pharma, Tech & The Future of Work with Adam WalkerIn this episode of Tech and Drugs, I sit down with Adam Walker, a seasoned consultant, technologist, and thought leader with nearly 30 years of experience in pharmaceuticals, clinical research, and medtech. Adam has worked across biometrics, quality assurance, and real-world evidence, leading global teams and driving technology adoption in major pharma companies, including AstraZeneca.We cover:✅ The evolving role of AI in drug discovery and preclinical research✅ The job market turmoil in pharma and biotech—layoffs, personal branding, and resilience✅ The tension between security and innovation in pharma’s approach to digital transformation✅ The future of remote work vs. on-site policies in life sciences✅ How data assets are reshaping pharma and the growing demand for ‘bilingual’ scientists and data expertsWhether you’re navigating a career shift, exploring AI’s impact on drug R&D, or curious about where life sciences is heading in 2025, this conversation is packed with insights.💬 What’s your take on AI, job market shifts, or remote work in pharma? Drop your thoughts in the comments!#Pharma #AI #DrugDiscovery #RealWorldEvidence #ClinicalResearch #DataScience #FutureOfWork #Biotech #LifeSciences
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This time, I sit down with Jakob Zeitler, an expert in causal inference and machine learning, to explore how AI-driven experimentation is reshaping drug R&D. If you’ve ever wondered how active learning can revolutionize drug discovery, or why machine learning in pharma is both promising and problematic, this one’s for you.
🔹 Jakob’s Journey: From early coding to cutting-edge research at Oxford University and Matterhorn Studio
🔹 Pharma’s Efficiency Problem: Why drug development keeps getting more expensive and how AI might fix it
🔹 Active Learning 101: How AI decides which experiment to run next (smarter, not harder!)
🔹 Machine Learning in Drug Discovery: Where it works, where it fails, and why we need more than one “AlphaFold”
🔹 "Lab-in-the-Loop": The future of AI-powered experimentation in pharma
🔹 Adopting AI in R&D" Practical steps for pharma leaders looking to integrate active learning today
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n this episode, I sit down with Benjamin Szilagyi, a true pioneer in data science and digital transformation. With over 25 years of experience, Ben shares insights from his leadership roles at Roche and dsm-firmenich, diving into the real stories behind building data-driven ecosystems in Pharma and Biotech.
Here’s a sneak peek of the themes we explored:
1️⃣ The Power of Starting Small: Why focusing on one use case can drive large-scale digital transformation and break through corporate inertia.
2️⃣ From FAIR Philosophy to Action: How to operationalize FAIR data principles step-by-step and align data workflows for real impact.
3️⃣ Human-Centric Transformation: The surprising role of empathy, trust, and cross-functional alignment in leading change at scale.
4️⃣ The Data Pyramid Problem: Why focusing on foundational data quality is the secret to unlocking sustainable AI-driven insights.
5️⃣ Purpose and Talent: How to attract, motivate, and retain top talent by centering mission and impact in your work.
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Tech and Drugs - Episode 1 - Kiin AI
In this premiere episode of Tech and Drugs, we dive into the cutting-edge world of AI-powered drug discovery with the team at Kiin AI.
Kiin AI hold a bold vision: to build the first end to end AI scientist.
We are talking about a system that can learn, design, execute, and troubleshoot complex scientific tasks
🔍 Tune in for insights, anecdotes, and a vision of what’s next in the AI-driven future of drug R&D! 🚀
