Michael Garland is the Senior Director of Programming Systems and Applications research at NVIDIA. He completed his Ph.D. at Carnegie Mellon University, and was previously on the faculty of the Department of Computer Science of the University of Illinois at Urbana-Champaign. He joined NVIDIA in 2006 as one of the first members of NVIDIA Research, and has been working to develop effective parallel programming systems ever since. His research goal is to develop tools and techniques that will equip programmers to realize the full potential of modern, massively parallel, computing systems.

David Luebke helped found NVIDIA Research in 2006 after eight years on the faculty of the University of Virginia. Luebke received his Ph.D. under Fred Brooks at the University of North Carolina in 1998. Luebke runs a research group focused on computer graphics, neural image synthesis, His principal research interests are computer graphics, generative neural networks, and virtual reality. Luebke is a Fellow of the IEEE and a recent inductee into the IEEE VR Academy; other honors include the NVIDIA Distinguished Inventor award, the IEEE VR Technical Achievement Award, and the ACM Symposium on Interactive 3D Graphics "Test of Time Award". Together with his colleagues, Dr. Luebke has authored a book, a major museum exhibit, and over two hundred papers, articles, chapters, and patents.

Brucek Khailany joined NVIDIA in 2009 and currently leads the ASIC & VLSI Research group.  During his time at NVIDIA, he has contributed to projects within research and product groups on topics spanning computer architecture, unit micro-architecture, and ASIC and VLSI design techniques.  Previously, Dr. Khailany was a Co-Founder and Principal Architect at Stream Processors, Inc. (SPI) where he led research and development activities related to highly-parallel programmable processor architectures.

Bill Dally joined NVIDIA in January 2009 as chief scientist, after spending 12 years at Stanford University, where he was chairman of the computer science department.

Samuli Laine joined NVIDIA Research in 2007 after receiving his Ph.D. at Helsinki University of Technology. His research interests have ranged from photorealistic and real-time rendering to voxel-based graphics, GPU ray tracing, and 3D content creation. Currently Dr. Laine focuses on deep learning and its applications in computer graphics.