
SynBioBeta Speaker
Kristopher Kersten
NVIDIA
Technical Marketing
Kris Kersten drives Technical Marketing for NVIDIA Healthcare and Life Sciences, focusing on the application of AI for Digital Biology. Leveraging his expertise in AI for scientific computing, HPC infrastructure, and performance engineering, he translates cutting-edge technologies into accessible and efficient solutions that allow researchers and developers to shape the future of healthcare.
Sessions Featuring
Kristopher
This Year
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AIxBIO
The AIxBIO Landscape: Mapping the Convergence of AI and Programmable Biology presented by NVIDIA
As artificial intelligence and programmable biology rapidly converge, a new generation of companies, tools, and research paradigms is emerging across the life sciences. From AI-driven protein design and generative genomics to autonomous laboratories and foundation models for biology, the AIxBIO ecosystem is evolving at unprecedented speed. In this session, NVIDIA will present a high-level overview of the AIxBIO landscape, highlighting key technological breakthroughs, emerging categories of companies, and the infrastructure powering the next wave of biological discovery. The discussion will explore how advances in compute, data, and machine learning are reshaping how we design molecules, engineer cells, and accelerate drug and materials discovery. This talk will provide a strategic map of the field and help frame where the most important opportunities and bottlenecks lie as AI begins to fundamentally transform the practice of biology.
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AIxBIO
The AIxBIO Landscape: Mapping the Convergence of AI and Programmable Biology presented by NVIDIA
As artificial intelligence and programmable biology rapidly converge, a new generation of companies, tools, and research paradigms is emerging across the life sciences. From AI-driven protein design and generative genomics to autonomous laboratories and foundation models for biology, the AIxBIO ecosystem is evolving at unprecedented speed. In this session, NVIDIA will present a high-level overview of the AIxBIO landscape, highlighting key technological breakthroughs, emerging categories of companies, and the infrastructure powering the next wave of biological discovery. The discussion will explore how advances in compute, data, and machine learning are reshaping how we design molecules, engineer cells, and accelerate drug and materials discovery. This talk will provide a strategic map of the field and help frame where the most important opportunities and bottlenecks lie as AI begins to fundamentally transform the practice of biology.
Session lineup still growing
Featuring
Speaker Coming Soon
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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






































