Markus Kettunen is a senior research scientist at NVIDIA’s real-time rendering research group, working from the Helsinki office. He has a Ph.D. in computer science from Aalto University and an M.Sc in applied mathematics from the University of Helsinki. He joined NVIDIA Research in 2020, and he works on defining the future of advanced real-time rendering with advanced Monte Carlo methods.

Markus’s research interests include extending the statistical theory of light transport: building new mathematics and algorithms to better utilize the structures and redundancies in light transport computations. Examples of this include gradient-domain path tracing and mathematical foundations of ReSTIR (SIGGRAPH course). He has also worked on machine learning, e.g., denoising gradient-domain rendering and robust perceptual image similarity.

His goal is to eventually enable real-time rendering of all everyday scenes at the highest imaginable quality, regardless of light transport complexity.