NVIDIA

Computer scientist, UC Berkeley professor, and Databricks co-founder and CTO. He created Apache Spark and works on systems for large-scale data, machine learning, and compound AI applications.

Research scientist at NVIDIA and University of Maryland PhD student whose public site highlights speech, audio, and video generation plus alignment for large language and vision-language models.

Pradeep Dasigi is a senior research scientist at NVIDIA. His public profile notes previous work at the Allen Institute for AI and a PhD in computer science from the University of Pennsylvania, with research spanning NLP, semantic parsing, and knowledge graphs.

Senior applied scientist at NVIDIA working on open foundation models and post-training. Previously he was a visiting researcher at Google DeepMind and Google Brain, and he earned an MSc in computer science from ETH Zurich.

Public profiles say he completed a Georgia Tech PhD in 2025 after earlier study at Rice and USTC, and his current work focuses on bringing frontier AI to everyday devices.

Research scientist at Moonshot AI studying scaling in reinforcement learning and large language models.

NVIDIA Research and Wonmin Byeon's personal site identify him as a researcher at NVIDIA Research in California. Public site materials describe interests in computer vision, robotics, recurrent and state-space models, sequence learning, and spatio-temporal learning.

Zihan Liu's public homepage describes him as a senior research scientist at NVIDIA ADLR working on LLM reasoning, post-training, and retrieval-augmented generation.

Research scientist at NVIDIA working on compression, efficient inference, post-training, multimodality, and evaluation for large language models. He completed a PhD in machine learning at Stanford and a master's in artificial intelligence at the University of Edinburgh.

Leon Derczynski is a professor in natural language processing at DTU Compute whose research focuses on information extraction, online harms, and the dynamics of abusive language and misinformation.

NVIDIA's research page describes Jan Kautz as vice president of Learning and Perception Research, working across computer vision, machine learning, computational photography, and geometric vision.

Mitesh M. Khapra is a professor at IIT Madras and co-founder of AI4Bharat whose research spans natural language processing, machine learning, transfer learning, and deep learning.

OpenReview lists Grace Lam as a researcher at NVIDIA after prior work at Google, with study at Stanford and MIT. NVIDIA public pages connect her to Cosmos Policy for robot control and Nemotron-Cascade 2 for LLM post-training.

Boxin Wang is a senior research scientist at NVIDIA working on practical and scalable large language models, including trustworthiness, multimodal language modeling, and retrieval-augmented generation. He earned a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign.

Zhuolin Yang's personal page says he is a Research Scientist at NVIDIA ADLR whose interests include trustworthy machine learning, multimodal LLMs, and reasoning.

Hanrong Ye is a research scientist at NVIDIA Research in Santa Clara working on multi-task, multi-media, and multimodality models for machine understanding and generation. He earned a Ph.D. from HKUST, a master's degree from Peking University, and a B.S. from Sun Yat-sen University.

Jiarui Cai's OpenReview profile lists him as a researcher at NVIDIA after prior research work at Amazon. The same profile highlights computer vision, multi-object tracking, and vision-and-language as areas of expertise.

Shubham Toshniwal is a senior research scientist at Databricks Mosaic. His homepage and CV describe prior work at NVIDIA and FAIR, with research centered on synthetic data, reinforcement learning, agentic reasoning, and mathematical reasoning for language models.

Boris Ginsburg is a principal engineer and research scientist at NVIDIA whose work focuses on efficient machine learning and deep learning for speech recognition, language processing, and computer vision.

Amelie Haghighat is an incoming assistant professor at the University of Illinois Chicago whose research focuses on trustworthy and resource-efficient machine learning systems.

Ana Klimovic is an assistant professor of computer science at ETH Zurich whose research focuses on machine learning systems, efficient hardware acceleration, and sustainable AI.

Compiler researcher and entrepreneur, creator of the PolyMage DSL, and Professor at the Indian Institute of Science whose work spans compilers, AI systems, and programming languages.

Yangyi Chen is a research scientist at NVIDIA. His homepage says he works on LLM post-training and LLM-based coding agents, and it lists him as a Nemotron-Cascade 2 coauthor.

OpenReview identifies Yashaswi Karnati as a researcher at NVIDIA. His personal homepage describes prior work across intelligent transportation, climate science, data compression, and healthcare, and records completed degrees from the University of Florida and IIT (ISM) Dhanbad.

Matei Zaharia

Kaustubh Jha

Pradeep Dasigi

Utku Evci

Fu, Yonggan

Hao Zhang

Byeon, Wonmin

Liu, Zihan

Trevor Gale

Leon Derczynski

Kautz, Jan

Mitesh M. Khapra

Lam, Grace

Wang, Boxin

Yang, Zhuolin

Ye, Hanrong

Cai, Jiarui

Toshniwal, Shubham

Boris Ginsburg

Amelie Haghighat

Ana Klimovic

Uday Bondhugula

Chen, Yangyi

Karnati, Yashaswi