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How AI Is revolutionizing synthetic biology and biomanufacturing

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Manage episode 516882347 series 3361449
Content provided by Labiotech. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Labiotech or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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 Martin

12:47 Introduction to the Berkeley National Laboratory

14:42 Challenges in synthetic biology

17:21 How unpredictability complicates biomanufacturing

19:30 Self-driving labs at the nexus of AI, robotics, and biomanufacturing

22:23 How is AI integrated into optimize enzyme expression

28:01 Where is the market for self-driving labs?

28:47 The future of synthetic biology

32:24 The most exciting trends in AI-driven biomanufacturing

34:10 The expected impacts of self-driving labs on everyday life

35:28 Advice for aspiring scientists

Interested in being a sponsor of an episode of our podcast? Discover how you can get involved here!

Stay updated by subscribing to our newsletter

To dive deeper into the topic:

  continue reading

Chapters

1. How AI Is revolutionizing synthetic biology and biomanufacturing (00:00:00)

2. Meet Hector Garcia Martin (00:01:12)

3. Introduction to the Berkeley National Laboratory (00:12:47)

4. Challenges in synthetic biology (00:14:42)

5. How unpredictability complicates biomanufacturing (00:17:21)

6. Self-driving labs at the nexus of AI, robotics, and biomanufacturing (00:19:30)

7. How is AI integrated into optimize enzyme expression (00:22:23)

8. Where is the market for self-driving labs? (00:28:01)

9. The future of synthetic biology (00:28:47)

10. The most exciting trends in AI-driven biomanufacturing (00:32:24)

11. The expected impacts of self-driving labs on everyday life (00:34:10)

12. Advice for aspiring scientists (00:35:28)

171 episodes

Artwork
iconShare
 
Manage episode 516882347 series 3361449
Content provided by Labiotech. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Labiotech or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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 Martin

12:47 Introduction to the Berkeley National Laboratory

14:42 Challenges in synthetic biology

17:21 How unpredictability complicates biomanufacturing

19:30 Self-driving labs at the nexus of AI, robotics, and biomanufacturing

22:23 How is AI integrated into optimize enzyme expression

28:01 Where is the market for self-driving labs?

28:47 The future of synthetic biology

32:24 The most exciting trends in AI-driven biomanufacturing

34:10 The expected impacts of self-driving labs on everyday life

35:28 Advice for aspiring scientists

Interested in being a sponsor of an episode of our podcast? Discover how you can get involved here!

Stay updated by subscribing to our newsletter

To dive deeper into the topic:

  continue reading

Chapters

1. How AI Is revolutionizing synthetic biology and biomanufacturing (00:00:00)

2. Meet Hector Garcia Martin (00:01:12)

3. Introduction to the Berkeley National Laboratory (00:12:47)

4. Challenges in synthetic biology (00:14:42)

5. How unpredictability complicates biomanufacturing (00:17:21)

6. Self-driving labs at the nexus of AI, robotics, and biomanufacturing (00:19:30)

7. How is AI integrated into optimize enzyme expression (00:22:23)

8. Where is the market for self-driving labs? (00:28:01)

9. The future of synthetic biology (00:28:47)

10. The most exciting trends in AI-driven biomanufacturing (00:32:24)

11. The expected impacts of self-driving labs on everyday life (00:34:10)

12. Advice for aspiring scientists (00:35:28)

171 episodes

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