SynBioBeta Speaker

Michael Gay

UW CDR

CDR Tech Transfer

Michael P. Gay, CEcD, is a passionate leader driving sustainability, innovation and entrepreneurship at the University of Wisconsin’s Center for Dairy Research (CDR) with a focus on fostering strategic partnerships, finding new technologies and unlocking funding partnerships for the dairy industry. Michael collaborates with industry leaders, startups, researchers, and technologists to propel dairy innovation. His expertise inside the dairy supply chain lies in advancing the circular bioeconomy, emphasizing carbon-neutral, climate-smart, and sustainable initiatives and innovations. Through the CDR's groundbreaking $73M pilot plant and US EDA funded ABID accelerator, Michael is helping transform dairy by-products through bio-fermentation scale up into cutting-edge solutions such as platform chemicals, biobased and biodegradable packaging, natural food ingredients, and green chemicals as alternatives to petrochemicals. Bringing over 35 years of business and economic development experience, Michael has held leadership roles including Chief of Business Development for Invest Puerto Rico, Acting CEO of Madison Region Economic Partnership (MadREP), Director of the Center for New Ventures at UW-Platteville, Manager of Business Development for the City of Madison, and Team Leader and Office Manager at MSA Professional Services, Inc. Michael is an internationally Certified Economic Developer (CEcD) by the IEDC, has a MS from University of Wisconsin-Madison, did his thesis research at the Universidad Javeriana Pontificia in Bogota, and has a BS from the University of Wisconsin-Green Bay.

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Fireside Chat

12:00 AM

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8:30 AM

Human Health

From Cells to Patients: Solving the Scale Mismatch in Virtual Biology

Drug discovery often measures biology at the cell level while interventions work at the tissue, organ, or whole-patient scale. This mismatch can make accurate cell-level predictions irrelevant in the clinic. This session dives into strategies to bridge that gap: multiscale modeling that nests single-cell dynamics within organ-level simulations, spatial transcriptomics that preserve context, and surrogate models that translate cell-level outputs into clinical biomarkers. Speakers will ask: how do we ensure virtual biology reflects not just what cells do in isolation, but how biology behaves in the real complexity of patients?

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