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SynBioBeta Speaker

Arman Sharma

HHS

Deputy CAIO

Arman Sharma serves as the Department of Health and Human Services (HHS) Deputy Chief Artificial Intelligence Officer. He leads implementation of the HHS AI Strategy, AI policy, and adoption of artificial intelligence across the Department. Sharma also works across HHS Divisions to enable AI and technology adoption across the health and human services sector.

Sessions Featuring

Arman

This Year

Breakout Session

4:30 PM

-

5:15 PM

Human Health

Rewriting the Rules - Clinical Trial Reform in the Age of AI

AI-native drug discovery is accelerating molecule design, but clinical trials remain slow, expensive, and exclusionary. If we don’t modernize trial infrastructure, we create a bottleneck between computational breakthroughs and real-world patient impact.  This breakout explores how to reform recruitment, eligibility, endpoints, biomarkers, and regulatory alignment to make U.S. trials more competitive and globally scalable.

Breakout Session

4:30 PM

-

5:15 PM

Human Health

Rewriting the Rules - Clinical Trial Reform in the Age of AI

AI-native drug discovery is accelerating molecule design, but clinical trials remain slow, expensive, and exclusionary. If we don’t modernize trial infrastructure, we create a bottleneck between computational breakthroughs and real-world patient impact.  This breakout explores how to reform recruitment, eligibility, endpoints, biomarkers, and regulatory alignment to make U.S. trials more competitive and globally scalable.

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