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SynBioBeta Speaker

Juan Bizzotto

PreGen

Co-founder & CTO

Dr. Juan Antonio Bizzotto is a scientist based in Argentina, working at the intersection of molecular and computational biology to develop predictive models of cancer progression. As the Co-founder and CTO of PreGen , he focuses on transforming complex tumor data into accessible clinical intelligence. At PreGen, his work centers on developing AI-powered genomic assays designed to guide targeted treatment strategies and enable decentralized, cost-effective prognostic testing for patients in Latin America and globally.Dr. Bizzotto holds a Ph.D. in Biological Chemistry from the University of Buenos Aires (UBA) and serves as a Professor of Molecular Biology and Genomics at UADE University. His academic research leverages multi-omics data—spanning genomics, transcriptomics, and proteomics—alongside machine learning algorithms to discover and validate novel prognostic biomarkers.For his contributions to the field, Dr. Bizzotto has been honored with early-career and young investigator awards by the American Society of Clinical Oncology (ASCO) and the American Association for Cancer Research (AACR). Ultimately, Dr. Bizzotto is dedicated to translating fundamental biological discoveries into practical, data-driven clinical solutions.

Sessions Featuring

Juan

This Year

TBD

Session lineup still growing

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Speaker Coming Soon

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?

Featuring

Speaker Coming Soon

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