206. No Longer Lost in Translation: Anna Marie & Renee Decode the Bench at Transfyr

Why do promising discoveries sometimes get stuck between the lab bench and the real world? In this episode of Grow Everything, hosts Erum Azeez Khan and Karl Schmieder speak with Transfer AI cofounders Anne Marie Wagner and Renee Wegrzyn about the hidden steps that make scientific experiments difficult to reproduce and transfer. Drawing on their experience at Ginkgo Bioworks, DARPA and the Advanced Research Projects Agency for Health, they explain how cameras, environmental sensors and AI can capture the practical knowledge scientists rarely write down, helping teams understand which variations matter. The conversation explores reproducibility, technology transfer, investment risk, scientific creativity and a future where better data helps researchers bring discoveries to patients and the bioeconomy. Grow Everything brings the bioeconomy to life. Hosts Karl Schmieder and Erum Azeez Khan share stories and speak with the leaders and innovators using biology to change the world. Biology is the world’s oldest technology, and it can be engineered. So, what are we growing? Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.messaginglab.com/groweverything⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Chapters: (00:00:00) - AI drug discovery and the pace of biological research (00:07:00) - Meet Transfer AI cofounders Anne Marie Wagner and Renee Wegrzyn (00:14:00) - Why scientific protocols miss the details that matter (00:21:00) - How physical AI observes scientists without disrupting their work (00:28:00) - From lab observations to reproducible experiments and technology transfer (00:35:00) - Why physical execution is a biotech bottleneck (00:42:00) - Cofounder leadership and solving real customer pain (00:49:00) - Investor diligence and protecting teams from distractions (00:56:00) - Magic hands, rapid fire questions and the future of science (01:03:00) - What’s next on Grow Everything Links and Resources: Transyr AI Renee Wegrzyn  Anna Marie Wagner Transfyr Launches Physical AI Platform for Science with $25M Seed Funding How a former ARPA-H director’s startup is tackling AI’s ‘dumb problems’ OpenAI, PerturbAI⁠, and Scripps Research used thousands of AI agents with GPT‑Rosalind to analyze existing experimental data in just 32 minutes 35. Unlocking the Gene-ius of AI-Powered Biology: Teselagen's Eduardo Abeliuk  172. Generating Needles in Haystacks: Elise de Reus Designs Proteins with Cradle 2. The Biotech Century with Megan Palmer Grow everything LinkedIn Topics Covered: physical AI for science, AI in biology labs, lab reproducibility, scientific knowledge transfer, biotech tech transfer, lab automation, experimental protocol optimization, AI-powered lab monitoring, biomanufacturing scale-up, scientific data capture Have a question or comment? Message us here: Text or Call (804) 505-5553 ⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠ / ⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠ / ⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠ / ⁠⁠⁠⁠⁠⁠⁠⁠Youtube⁠⁠⁠⁠⁠⁠⁠⁠ / ⁠⁠⁠⁠⁠⁠⁠⁠Grow Everything⁠⁠⁠⁠⁠⁠⁠⁠ Music by: Nihilore Production by: Amplafy Media