Iuri Frosio got his PhD in biomedical engineering at the Politecnico of Milan in 2006. He was a research fellow at the Computer Science Department of the University of Milan from 2003 and an assistant professor in the same department from 2006 to 2013. In the same period, he worked as a consultant for various companies in Italy and in the US. He joined NVIDIA in 2014 as senior research scientist, and since 2021 he has the role of principal research scientist. His research interests include image processing, computer vision, robotics, parallel programming, machine learning, and reinforcement learning.

Niladrish Chatterjee is a Senior Research Scientist in the Architecture Research Group.  His research focuses on realizing energy-efficient, high-performance memory and processor architectures that will power future supercomputers and artificially intelligent machines.



He received a PhD in Computer Engineering from the University of Utah in 2013, and a B.E. in Computer Science from Jadavpur University in 2007.

Oreste Villa joined NVIDIA in March 2013. He is a senior research scientist in the Architecture Research Group working on system level simulation, binary instrumentation and transparent Multi-GPU support. Previously he was a research scientist at Pacific Northwest National Lab where he worked on high performance computing distributed applications, distributed runtimes, GPU accelerated graph algorithms and performance models. He received his Ph.D. in Computer Science from Politecnico di Milano (Italy) in 2008.

Matt Fojtik joined the Circuits Research group of NVIDIA in October 2013. Prior to NVIDIA, he worked on various adaptive clocking projects, two-phase latch based timing, and low power microprocessor design. He received his B.S., M.S. and Ph.D. degrees in Electrical Engineering from the University of Michigan in 2008, 2010, and 2013 respectively.

Prior to NVIDIA, he worked on software systems such as high-performance distributed applications, database scaling for the cloud and software-defined networking. He also architected and led the development of the ASIC chipset for the Avici Terabit Router which utilized a 3-D toroidal network. At BBN, Dr. Dennison was the principal investigator for MicroPath, a wearable computer that connected to other wearables over a very low power RF network. Dr. Dennison holds Ph.D., M.S., and B.S.

Siva Hari is a Senior Research Scientist in the Computer Architecture Research Group at NVIDIA. 

Jan leads the Learning & Perception Research team at NVIDIA, working predominantly on computer vision and machine learning problems — from low-level vision (denoising, super-resolution, computational photography), geometric vision (structure from motion, SLAM, optical flow) to high-level vision (detection, recognition, classification), as well as fundamental machine learning algorithms. Before joining NVIDIA in 2013, Jan was a tenured faculty member at University College London.

Albert Sidelnik joined NVIDIA Research in July 2013. He completed his Ph.D in Computer Science from the University of Illinois at Urbana-Champaign. His area of research is developing new programming models and compiler optimizations for massively parallel architectures. He has previously interned at NVIDIA Research, IBM TJ Watson, and Cray Inc. In 2010, he was a member of the team that won the HPC Challenge Class II Award for most productive system. He is also a three-time recipient of the NVIDIA Graduate Fellowship.