Markus Kettunen
Senior Research Scientist at NVIDIA
Finland
Summary
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Senior🎓
Top SchoolMarkus Kettunen is a senior research scientist specializing in photorealistic image synthesis and path tracing, currently advancing rendering research at NVIDIA after completing a PhD in gradient-domain rendering at Aalto University. With a decade of experience spanning academia and industry—including research at Weta Digital and production graphics at Rightware—he blends deep mathematical insight (MSc in mathematics and physics) with practical C++ and Python engineering. His work focuses on reducing noise and improving efficiency in physically based rendering through techniques like gradient-domain methods, MCMC, and neural approaches. Known for bridging theory and production, he has contributed to both offline and real-time graphics pipelines and has a background teaching advanced math and physics that sharpens his analytical approach. An understated strength is his ability to translate rigorous numerical simulation research into scalable tools for games, film, and design.
10 years of coding experience
11 years of employment as a software developer
Helsingin matematiikkalukioDoctor of Science - D.Sc, Computer Graphics, Doctor of Science - D.Sc, Computer Graphics at Aalto UniversityM.Sc, Mathematics, Physics, M.Sc, Mathematics, Physics at University of Helsinki
Github Skills (11)
perceptual8
bidirectional8
temporal8
path-tracing8
ensembles7
transformation7
renderer6
similarity6
gradient6
pytorch5
deep-learning4
Programming languages (1)
Github contributions (5)
mmanzi/gradientdomain-mitsuba
Jan 2016 - Mar 2019
Contributions:3 commits, 8 pushes in 3 years 2 months
tracingrendererbidirectional-path-tracingdomainpath-tracing
mkettune/temporal-gpt
Nov 2016 - Mar 2019
Contributions:4 commits, 2 pushes, 1 branch in 2 years 3 months
tracingtemporaldomainpath-tracinggradient
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