For greater than 20 years, the NVIDIA Graduate Fellowship Program has supported graduate college students doing excellent work related to NVIDIA applied sciences. Right now, this system introduced the newest awards of as much as $60,000 every to 10 Ph.D. college students concerned in analysis that spans all areas of computing innovation.
Chosen from a extremely aggressive applicant pool, the awardees will take part in a summer time internship previous the fellowship 12 months. Their work places them on the forefront of accelerated computing — tackling tasks in autonomous techniques, pc structure, pc graphics, deep studying, programming techniques, robotics and safety.
The NVIDIA Graduate Fellowship Program is open to candidates worldwide.
The 2025-2026 fellowship recipients are:
- Anish Saxena, Georgia Institute of Expertise — Rethinking knowledge motion throughout the stack — spanning giant language mannequin architectures, system software program and reminiscence techniques — to enhance the effectivity of LLM coaching and inference.
- Jiawei Yang, College of Southern California — Creating scalable, generalizable basis fashions for autonomous techniques by means of self-supervised studying, leveraging neural reconstruction to seize detailed environmental geometry and dynamic scene behaviors, and enhancing adaptability in robotics, digital twin applied sciences and autonomous driving.
- Jiayi (Eris) Zhang, Stanford College — Growing clever algorithms, fashions and instruments for enhancing consumer creativity and productiveness in design, animation and simulation.
- Ruisi Cai, College of Texas at Austin — Engaged on environment friendly coaching and inference for giant basis fashions in addition to AI safety and privateness.
- Seul Lee, Korea Superior Institute of Science and Expertise — Growing generative fashions for molecules and exploration methods in chemical house for drug discovery functions.
- Sreyan Ghosh, College of Maryland, Faculty Park — Advancing audio processing and reasoning by designing resource-efficient fashions and coaching methods, enhancing audio illustration studying and enhancing audio notion for AI techniques.
- Tairan He, Carnegie Mellon College — Researching the event of humanoid robots, with a deal with advancing whole-body loco-manipulation by means of large-scale simulation-to-real studying.
- Xiaogeng Liu, College of Wisconsin–Madison — Growing strong and reliable AI techniques, with an emphasis on evaluating and enhancing machine studying fashions to make sure constant efficiency and resilience in opposition to numerous assaults and unexpected inputs.
- Yunze Man, College of Illinois Urbana-Champaign — Growing vision-centric reasoning fashions for multimodal and embodied AI brokers, with a deal with object-centric notion techniques in dynamic scenes, imaginative and prescient basis fashions for open-world scene understanding and era, and enormous multimodal fashions for embodied reasoning and robotics planning.
- Zhiqiang Xie, Stanford College — Constructing infrastructures to allow extra environment friendly, scalable and sophisticated compound AI techniques whereas enhancing the observability and reliability of such techniques.
We additionally acknowledge the 2025-2026 fellowship finalists:
- Bo Zhao, College of California, San Diego
- Chenning Li, Massachusetts Institute of Expertise
- Dacheng Li, College of California, Berkeley
- Jiankai Solar, Stanford College
- Wenlong Huang, Stanford College