Join Dale Herzog as he show some insights on how generative AI and data science could revolutionize lab automation. Learn how open-source robotics and AI orchestration could enable autonomous biology.
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What happens when generative AI and data science step off the screen and directly into the physical wet lab?
In this talk Dale Herzog reveals how open-source lab automation, modern generative AI, and data science pipelines can turn autonomous biology from science fiction into accessible reality. Leveraging a unique multidisciplinary background spanning mechanical CAD design, industrial automation, data science, and generative AI engineering, Dale demonstrate show us a Opentrons OT-1 liquid handling robot.
Dale will share how open-source fabrication meant to enable individuals to build self-driving labs at a fraction of traditional pharmaceutical automation costs.
Dale Herzog is a mechanical CAD designer, data science practitioner, and generative AI builder specializing in industrial automation, digital fabrication, and open-source lab instrumentation. By bridging physical engineering (SolidWorks, rapid prototyping, robotics) with software intelligence (data science pipelines, agentic orchestration, and multimodal LLMs), Dale focuses on creating modular, low-cost self-driving laboratory systems that democratize scientific experimentation.
It may take some hours to setup all the equipment for Dale, so that's why the session start time moved to later, but we'll be there.
October 17 – 18, 2026
10:00 PM – 12:30 AM (UTC)
