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 is broadly excited by the intersection of generative AI and the natural sciences. In addition to scientific applications, he has also worked extensively on generative models for content creation and digital artistry—including image, video, and 3D generation.
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.
Please visit Karsten's personal website for a complete list of his publications and more information: https://karstenkreis.github.io/.
