Andrei joined NVIDIA in 2022 as a member of the Programming Systems & Applications research group. His past work has focused on a broad range of topics, including both the design of the C++ and D programming languages as well as machine learning and natural language processing. His book Modern C++ Design was particularly influential in revitalizing the field of C++ library design. Currently, Andrei is looking into developing new ways of expressing efficient parallel algorithms and the intersection of these tools with machine learning.

I am a senior research scientist at Nvidia Research.

Xueting Li is a research scientist at Nvidia Research in Santa Clara, US. She received her Ph.D. from University of California Merced, advised by Ming-Hsuan Yang. Her research focuses on computer vision, specifically 3D vision, affordance learning, and self-supervised methods. Xueting received the NVIDIA Graduate Fellowship in 2020 and the Google PhD fellowship in 2021. She received her M.S. from Tsinghua University and B.S.from Beijing University of Posts and Telecommunications.

Li Xu joined the Circuits Research Group at NVIDIA, Santa Clara, CA in 2022. His research interests include energy- and area-efficient circuits for sensing, cognition, communication, power management, and actuation. He received the PhD degree in electrical and computer engineering from the University of Michigan, Ann Arbor in 2021.

LinkedIn Profile: https://www.linkedin.com/in/li-xu-a7560069/

I am a Research Scientist with the Autonomous Vehicle Research Group at NVIDIA Research. Broadly, my research interests lie in ensuring the safety of complex autonomous robotic systems. I am currently interested in improving the safety of autonomous vehicles by equipping them with the ability to detect and safely address edge cases that lie beyond the operational design domain.

Please visit my personal website! https://jimfan.me

Working on Privacy Preserving Deep Learning using: