How AI Is revolutionizing synthetic biology and biomanufacturing

Today, I’m joined by Héctor García Martín, a Staff Scientist at Lawrence Berkeley National Laboratory. A pioneer in metabolic engineering and computational biology, Héctor has spent over a decade decoding microbial systems, everything from termite guts to genome-scale flux models, to unlock sustainable biomanufacturing.Now, he’s leading the charge in self-driving labs: AI-powered, robotic systems that automate experiments, predict biological behavior, and accelerate the design of microbes that produce fuels, medicines, and materials.In this episode, we’ll dive into why biology has traditionally proven so hard to engineer, how AI and robotics are changing that, and where this revolution is headed next. I hope you enjoy my discussion with Hector Garcia Martin.01:12              Meet Hector Garcia Martin12:47              Introduction to the Berkeley National Laboratory14:42              Challenges in synthetic biology17:21              How unpredictability complicates biomanufacturing19:30              Self-driving labs at the nexus of AI, robotics, and biomanufacturing22:23               How is AI integrated into optimize enzyme expression28:01               Where is the market for self-driving labs?28:47               The future of synthetic biology32:24               The most exciting trends in AI-driven biomanufacturing34:10               The expected impacts of self-driving labs on everyday life35:28               Advice for aspiring scientistsInterested in being a sponsor of an episode of our podcast? Discover how you can get involved here! Stay updated by subscribing to our newsletterTo dive deeper into the topic: Synthetic Biology @ LabiotechEuropean biotech: trends to watch in 2025The coming of age of European synthetic biology