SynBioBeta Speaker
T.J. Chen
NVIDIA
Product Leader, Bio Sciences
T.J. leads Product Management for Biological Sciences at NVIDIA focused on providing accelerated data processing solutions and new biological models, including NVIDIA Parabricks, rapids-singlecell developed by scverse, and CodonFM. She is responsible for leveraging NVIDIA expertise in AI, HPC, and data analytics to accelerate and improve the accuracy of genomics workflows. Before NVIDIA, T.J. led a team at Chan-Zuckerberg Initiative focused on technological and ecosystem contributions to the single-cell, imaging, rare disease, and infectious disease communities. Her interests and experience focus on cloud platforms, machine learning, data analysis and interpretation, supporting R&D through to Clinical applications. She received a Ph.D. in Biomedical Informatics from Stanford University and a B.S. in Computer Science/Biology from Duke University.
SynBioBeta 2026 Tickets are Live
Confirmed Speakers
Sessions Featuring
T.J.
This Year
Session lineup still growing
Featuring
Speaker Coming Soon
•
-
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
