Karsten Kreis

Karsten Kreis is a principal research scientist at NVIDIA Research focusing on generative AI. Karsten's research interests span both the development of foundational generative AI algorithms and their application across scientific and creative domains. Recently, he has been focusing on generative learning for molecular modeling and is leading efforts in generative modeling for protein design. Karsten was trained as a physicist, completing his master’s thesis in Quantum Information Theory and his Ph.D. in Computational and Statistical Physics, where he developed multiscale models and sampling algorithms for molecular dynamics simulations. Prior to joining NVIDIA, he worked on deep generative learning at D-Wave Systems and co-founded Variational AI, a startup leveraging generative modeling for drug discovery.
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Posts by Karsten Kreis

Agentic AI / Generative AI Mar 25, 2026

Designing Protein Binders Using the Generative Model Proteina-Complexa

Developing new protein-based therapies and catalysts involves the challenging task of designing protein binders, or proteins that bind to a target protein or... 10 MIN READ
Computer Vision / Video Analytics Apr 26, 2022

Improving Diffusion Models as an Alternative To GANs, Part 2

This is part of a series on how researchers at NVIDIA have developed methods to improve and accelerate sampling from diffusion models, a novel and powerful... 16 MIN READ
Computer Vision / Video Analytics Apr 26, 2022

Improving Diffusion Models as an Alternative To GANs, Part 1

This is part of a series on how NVIDIA researchers have developed methods to improve and accelerate sampling from diffusion models, a novel and powerful class... 8 MIN READ