Grow Everything Biotech Podcast 172. Generating Needles in Haystacks: Elise de Reus Designs Proteins with Cradle
Protein engineering has traditionally been slow, expensive, and stuck in trial-and-error mode—but AI is changing everything. In this episode, we sit down with Elise De Reus, co-founder of Cradle Bio, to explore how generative AI is revolutionizing the way scientists design proteins for medicines, enzymes, and sustainable materials. Elise shares her journey from studying fungi and building high-throughput strain engineering systems at companies like Zymergen and Perfect Day, to creating an AI-powered platform that helps R&D teams generate better protein variants in less time and at lower cost. We discuss the massive design space of proteins, the role of machine learning in navigating that complexity, how Cradle balances computational predictions with biological reality, and what it will take for the bioeconomy to reach its trillion-dollar potential. Whether you're in pharma, industrial biotech, or just curious about the future of biology as a design problem, this conversation offers a fascinating look at how AI is becoming an essential tool for engineering the building blocks of life.
Grow Everything brings the bioeconomy to life. Hosts Karl Schmieder and Erum Azeez Khan share stories and interview the leaders and influencers changing the world by growing everything. Biology is the oldest technology. And it can be engineered. What are we growing?
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Chapters:
- (00:00:00) - The AI Revolution Meets Biology
- (00:01:00) - Why Erum Switched from ChatGPT to Claude (And What It Means for AI)
- (00:03:00) - Lab-Grown Meat Just Got Real: The Breakthrough That Changes Everything
- (00:06:00) - The Roadmap to a Trillion-Dollar Bioeconomy: Inside the AB4S Report
- (00:08:00) - Proteins 101: The Molecular Machines Running Your Life
- (00:10:00) - From Studying Fungi to Building AI Tools: Elise De Reus's Origin Story
- (00:12:00) - Inside Cradle Bio: The AI Studio Transforming How Scientists Design Proteins
- (00:15:00) - The "Short, Fat Data" Problem: Why Protein Engineering Needs Different AI
- (00:18:00) - Finding Needles in Infinite Haystacks: How Generative AI Navigates Protein Space
- (00:23:00) - When AI Is Confident But Wrong: Balancing Predictions with Biological Reality
- (00:27:00) - Speed vs. Caution: Why Pharma and Industrial Biotech Innovate Differently
- (00:30:00) - The $500 Billion Question: What's Really Blocking the Bioeconomy?
- (00:35:00) - Success Stories: How AI Unstuck Projects That Were Going Nowhere
- (00:38:00) - Sequence vs. Structure: Which AI Models Win at Protein Design?
- (00:41:00) - The Future Is Here: Better Data, Faster DNA Assembly, and Smarter Tools
- (00:43:00) - Quick Fire: Elise's Hot Takes on Biotech's Biggest Questions
- (00:47:00) - Biology as a Design Problem: Why This Changes Everything
Links and Resources:
- Cradle
- Turning lab-grown yeast into edible scaffolding
- SynBioBeta Pass - Discount code: Grow Everything
- 166. The Great Reformulation: Joshua Lachter Rethinks How We Make Everything at Scale
Topics Covered:
protein design, protein engineering, biotech, lab automation, biomanufacturing. synthetic biology, AI drug discovery, directed evolution, biologics, computational biology, enzyme optimization
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Music by: Nihilore
Production by: Amplafy Media