Rendering Researchers: Interns

Valentin Fuetterling

Valentin FuetterlingValentin received his B.Sc. and M.Sc. in Physics from the Karlsruhe Institute of Technology in 2012 and 2014, respectively, specializing in nanophotonics. He is currently pursuing his computer science PhD at the Fraunhofer Institute for Industrial Mathematics ITWM in collaboration with the University of Kaiserslautern.

Valentin joined Intel as a graduate research intern in May 2017. His primary research interests are ray tracing, global illumination and high performance computing.


Kerry Seitz

Kerry SeitzKerry is a Ph.D. student in Computer Science at UC Davis, working under Prof. John Owens. He received a B.S. in Computer Science with minors in Biology and Biomathematics from Trinity University.

Kerry’s research interests include heterogeneous computing, computer graphics systems and programming models, general purpose computing on graphics processing units (GPGPU), programming languages, and compilers. He is especially interested in the intersection of these areas. Due to the increasingly widespread use of many-core architectures, like graphics processing units (GPUs), he is interested in making these devices easier to program so that developers can take advantage of the processing power and energy efficiency that they provide. Furthermore, he seeks to bring the advantages of heterogeneous programming to traditional graphics systems to facilitate simpler workflows and exploit optimizations that are possible only in a heterogeneous environment.

To learn more about Kerry’s previous and ongoing projects, visit


Manu Mathew Thomas

Manu Mathew ThomasManu is a MS student in Computer Science at the University of Illinois at Chicago. He received a bachelor’s degree in Computer Science from Cochin University of Science and Technology.

Manu joined Intel’s Advanced Rendering Technology team as a graduate research intern in January 2018. His research interest lies at the intersection of real-time graphics and machine learning. Recent advances in the field of deep learning has sparked Manu’s interest in exploring neural network based techniques for ray tracing and global illumination.


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