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Artwork for Tech and Drugs

Tech and Drugs - Podcast

Thibault Geoui
Artificial Intelligence
Drug Discovery
Ginkgo Bioworks
Karger Publishers
Pharma
AI In Drug Discovery
Data Analytics
Peer Review
Scientific Publishing
High-Throughput Biology
Bio-Foundation Models
Molecular Design (MDL)
Molecular Dynamics
Virtual Cell
Elsevier
Data

Welcome to Tech and Drugs, the podcast exploring how data and AI are revolutionizing Pharma and Biotech. Each episode features candid conversations with industry experts tackling real-world challenges, sharing success stories, and lessons learned. Explore how digital transformation accelerates breakthroughs and bridges the gap between tech and science. 🔍 What You’ll Discover: • How AI is driving ... more

PublishesMonthlyEpisodes13Foundeda year ago
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Life SciencesScience

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Artwork for Tech and Drugs

Latest Episodes

🎙 Tech and Drugs – Season 02, Episode 02

From Tennis Courts to Molecular Design: Tim Hoctor on Data, Discovery, and the Future of Pharma

Last December in Berlin, I had the privilege of sitting down with my friend and longtime mentor Tim Hoctor, one... more

🎙 Tech and Drugs – Season 02, Episode 01Inside Scientific Publishing, AI, and the Future of Medical KnowledgeIn the opening episode of Season 2, I sat down with Mitja-Alexander Linss, Head of Marketing at Karger Publishers, one of the world’s oldest... more

🎙 Tech and Drugs – Episode #11Inside Helical: Bio Foundation Models, Virtual Cells, and the Future of AI-Native Drug DiscoveryThis week I sat down with Rick Schneider, co-founder and CEO of Helical, a Luxembourg-based startup on a mission to democra... more

🎙 Tech and Drugs – Episode #10A special inside look at Ginkgo Bioworks, where automation, biology, and AI collide.I sat down with John Androsavich (GM, Ginkgo Data Points) and Jason Hocking (VP Engineering) to explore how Ginkgo generates huge multi... more

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Recent Guests

Tim Hoctor
Industry veteran in life sciences data and pharma software
MDL/Elsevier (former)
Episode: From Tennis Courts to Molecular Design: Tim Hoctor on Data, Discovery, and the Future of Pharma
Mitja-Alexander Linss
Head of Marketing at Karger Publishers
Karger Publishers
Episode: Inside Scientific Publishing, AI, and the Future of Medical Knowledge with Mitja-Alexander Linss
Rick Schneider
Co-founder and CEO of Helical
Helical
Episode: Inside Helical: Bio Foundation Models, Virtual Cells, and the Future of AI-Native Drug Discovery
Jason Hocking
VP of Engineering, Ginkgo Data Points
Ginkgo Bioworks
Episode: Inside Ginkgo Bioworks: High-Throughput Biology Meets AI
John Androsavich
General Manager, Ginkgo Data Points
Ginkgo Bioworks
Episode: Inside Ginkgo Bioworks: High-Throughput Biology Meets AI
Douglas Selinger
Founder and CEO of Plex Research
Plex Research
Episode: Applying Google's Search Recipe to Pharma R&D Data - With Douglas Selinger from Plex Research
Anindita Sinha
Leader in commercial strategy and analytics at Shionogi
Shionogi
Episode: Building a Data-Driven Pharma Organization Through Analytics & AI with Shionogi's Anindita “Ani” Sinha
Frédéric Célerse
Research scientist focusing on AI-based technologies in drug discovery and molecular modeling
Independent researcher, intersects AI and chemistry
Episode: From Molecules to Machine Learning: How AI Is Transforming Drug Discovery

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Thibaut
Host of the show (multiple instances across episodes)
Thibaut G. Weed
Host of Tech and Drugs - Podcast

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Inside Helical: Bio Foundation Models, Virtual Cells, and the Future of AI-Native Drug Discovery
Q: What one piece of advice would you give to a young entrepreneur starting a disruptive startup today?
Distinguish yourself by being genuinely different in a way that adds real value; adopt a model-agnostic stance and focus on solving real customer needs rather than building a pipeline for your own company.
Inside Helical: Bio Foundation Models, Virtual Cells, and the Future of AI-Native Drug Discovery
Q: Looking ahead, what's most exciting about the role of AI in pharma now and in the future?
The speed of innovation and the ability to iterate in silico are accelerating dramatically, bringing impactful results sooner and enabling faster drug development through virtual experiments and better integration of lab data with AI predictions.
Inside Helical: Bio Foundation Models, Virtual Cells, and the Future of AI-Native Drug Discovery
Q: What's the biggest hurdle when pharma teams adopt AI, and how do you address it?
The biggest hurdles are speed and data governance. Data must stay on-premise or in private clouds, and pharma teams require benchmarks against state-of-the-art methods to build trust in AI predictions. Helical mitigates this by offering a model-agnostic platform and strong benchmarking practices.
Inside Helical: Bio Foundation Models, Virtual Cells, and the Future of AI-Native Drug Discovery
Q: What are some concrete examples of foundation models in biology and how are they used in drug discovery?
Examples include EVO2, trained on DNA and RNA sequences with billions of parameters, capable of predicting mutations across species; AlphaFold is famous for protein structure prediction but not a complete solution for drug discovery. These models enable target identification, biomarker discovery, and in silico perturbations across multiple data modalities.
Inside Helical: Bio Foundation Models, Virtual Cells, and the Future of AI-Native Drug Discovery
Q: Can you start by explaining what a foundation model is for someone who's not necessarily a techie?
Foundation models are very large pre-trained AI systems learned from huge amounts of unlabeled data via self-supervised learning, which allows them to be adapted to many tasks without task-specific labeling. In bio, this means they learn the language of life from sequencing data and can be repurposed across various drug discovery use cases.

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Frequently Asked Questions About Tech and Drugs

What is Tech and Drugs about and what kind of topics does it cover?

Tech and Drugs focuses on how data and AI are transforming pharma and biotech, featuring candid conversations with industry leaders about real-world challenges, successes, and lessons learned. Episodes commonly explore topics like AI-driven drug discovery, data governance, open-source tools, and the practical realities of adopting advanced analytics in large organizations. A standout pattern is the emphasis on bridging tech with life sciences—ranging from high-throughput biology and data-centric workflows to publishing, visualization, and AI-enabled decision making—often with insights into regulatory considerations, data provenance, and culture shifts within pharma. The show tends to attract listeners who want practical takeaways for deploy... more

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1. All-In with Chamath, Jason, Sacks & Friedberg

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Tech and Drugs launched a year ago and published 13 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Tech and Drugs?

Recent guests on Tech and Drugs include:

1. Tim Hoctor
2. Mitja-Alexander Linss
3. Rick Schneider
4. Jason Hocking
5. John Androsavich
6. Douglas Selinger
7. Anindita Sinha
8. Frédéric Célerse

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