Γ

SynBioBeta Speaker

Carmen Messerlian

Vie Science

CEO & Founder

In 1997, an 8-year-old girl came into the ER where I worked, fighting for her life. She was diagnosed with leukemia later that day. I watched her undergo months of treatment. I saw other children who never had a chance at life. I've never let go of the questions that followed: Why do children get sick? What are we missing — in their environments, their exposures, their earliest years — that we could have seen sooner? Those questions pulled me from the bedside into epidemiology. I trained at McGill, the London School of Hygiene & Tropical Medicine, and Harvard — where I spent over a decade as scientist and faculty in Epidemiology and Environmental Health, with a joint appointment at Mass General. I built and directed the SEED Program, published 100+ peer-reviewed papers, served on the EPA's Science Advisory Board, and testified as an expert witness in high-stakes national litigation. I studied fertility, pregnancy, and child health — the impact of exposures, lifestyle, biology, timing, and the health of fathers and couples. One truth became impossible to ignore: The health of the next generation begins before conception — in both fathers and mothers. It starts with the couple — their biology, environment, and choices — long before conception. Yet the entire fertility industry is built around treatment, not prevention. By the time most people reach a clinic, they've already lost years. I'm building what should have existed all along. That's why I left academia and founded Vie Science. That's why I coined Fertility Intelligence™. Vie is me — everything I've understood about reproduction from the bedside to the lab to the literature — built into a platform so I can finally reach the people who need it. The future of generational health is Fertility Intelligence™. One couple at a time.

Sessions Featuring

Carmen

This Year

TBD

Session lineup still growing

Featuring

Speaker Coming Soon

Fireside Chat

12:00 AM

-

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

Previous Speakers Include