Nathaniel Pinckney received his PhD from David Blaauw’s research group at the University of Michigan in 2015. His research focused on near-threshold characterization of planar and FinFET devices, and fast voltage boosting. Prior to UM he worked for two years in Sun Microsystems’ VLSI Research group (presently Oracle Labs). His undergraduate degree is from Harvey Mudd College, where he was advised by David Money Harris.

Sanquan Song joined NVIDIA Research in 2015. He completed his Ph.D in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. His area of research is high-speed links for high-speed computing and analog/mixed signal circuits. He has previously worked at Samsung Display America Lab from 2013 to 2015, focusing on the SerDes for large display panels; and at Intel Hudson from 2010 to 2013, developing  DDR/VMSE PHY on Intel server chips. 

Mike Sullivan is a senior research scientist in the Architecture Research Group, working out of Austin, TX. His main research interest is the design of efficient, secure, and dependable large-scale computer systems. Specifically, he has studied system-level reliability modeling with cross-layer coordination, strong memory system protection, low-cost pipeline protection, and efficient and reliable application-specific acceleration. He received a PhD in computer architecture from the University of Texas at Austin under the tutelage of Mattan Erez and Earl E.

Ward Lopes is a Sr. Research Scientist who works on display research. His main research interests are applications of dynamic, computer generated holography and holographic optical elements in virtual-, augmented-, and mixed-reality. Prior 2015, Ward focused on self-assembly processes in soft condensed matter and applications of holography in optical micromanipulation and microscopy.

Josef Spjut joined NVIDIA Research in 2013. His research interests include Computer Graphics, Virtual and Augmented Reality, Computer Architecture, Embedded Systems and Human Computer Interaction.

Pavlo Molchanov obtained PhD from Tampere University of Technology, Finland in the area of signal processing in 2014. His dissertation was focused on designing automatic target recognition systems for radars. Since 2015 he is with Learning and Perception Research team at NVIDIA, currently holding a senior research scientist position. His research is focused on methods for neural network acceleration, and designing novel human-computer interaction systems and human understanding. On the network acceleration he is interested in neural network pruning methods and conditional inference.

Stephen joined the Learning and Perception group at NVIDIA Research in 2015 and has worked in the areas of deep learning, computer vision, and robotics. He completed his Ph.D. in Computer Science at Washington University in St. Louis (St. Louis, MO, USA) in December 2014. He holds a Bachelors degree in computer science and mathematics and a Masters degree in computer science, both from the University of Tulsa (Tulsa, OK, USA).

Dr. Angshuman Parashar joined NVIDIA in 2015 and is a member of the Architecture Research Group. His research focuses on building and evaluating architectures for spatial and data-parallel algorithms. Prior to NVIDIA, he was a member of the VSSAD group at Intel, where he worked with a small team of experts in architecture, languages, workloads and implementation to design and evaluate a new spatial architecture.

Dr. Aamer Jaleel joined NVIDIA in 2015 and is a member of the Architecture Research Group (ARG). His research work focuses on cache and DRAM systems, workload scheduling, performance modeling, and workload characterization. Prior to joining NVIDIA, he was a Principal Engineer at Intel Massachusetts Inc. in the VSSAD research group. During his decade-long career at Intel, his research work contributed towards enhancement in performance modeling and cache hierarchy improvements of Intel’s next generation microprocessors.