NVIDIA is at the forefront of powering a new era in molecular science where AI and GPU acceleration turn massive biological data into breakthroughs that unify AI and physics to model and design life. From multimodal modeling to generative AI for molecular discovery, Kyle Tretina, PhD, will reveal how open research and accelerated platforms are transforming drug design and digital biology at scale.
The life sciences are entering a new computational era. With data spanning millions of proteins, cells, and reactions, progress now depends on how effectively AI systems integrate across these diverse representations. This talk explores how open, GPU-accelerated models and libraries are driving discovery from molecular targets to synthesis. We’ll highlight emerging directions in multimodal modeling, physics-informed generative AI, and accelerated simulation, showing how open research in sequence modeling, structure prediction, and molecular generation is unifying the field. Together, these efforts are establishing digital biology as an open, computational science where AI and physics jointly advance our ability to model and design life.
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With a PhD in molecular microbiology and immunology, Kyle Tretina bridges science and strategy, translating breakthroughs in AI, chemistry, and biology into platforms that accelerate discovery for researchers, startups, and pharmaceutical companies worldwide. Kyle is a researcher and product marketing leader at NVIDIA, focused on advancing AI for digital biology and drug discovery. He drives the strategy and storytelling behind BioNeMo and our work with BioPharma, shaping how next-generation foundation models and GPU-accelerated microservices transform molecular and protein design.