For 25 years, the NVIDIA Graduate Fellowship Program has supported graduate college students doing excellent work related to NVIDIA applied sciences. In the present day, 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 methods, laptop structure, laptop graphics, deep studying, programming methods, robotics and safety.
The NVIDIA Graduate Fellowship Program is open to candidates worldwide.
The 2026-2027 fellowship recipients are:
- Jiageng Mao, College of Southern California — Fixing advanced bodily AI issues by utilizing numerous priors from internet-scale knowledge to allow sturdy, generalizable intelligence for embodied brokers in the actual world.
- Liwen Wu, College of California San Diego — Enriching realism and effectivity in bodily based mostly rendering with neural supplies and neural rendering.
- Manya Bansal, Massachusetts Institute of Expertise — Designing programming languages for contemporary accelerators that allow builders to jot down modular, reusable code with out sacrificing the low-level management required for peak efficiency.
- Sizhe Chen, College of California, Berkeley — Securing AI in real-world functions, at the moment securing AI brokers in opposition to immediate injection assaults with basic and sensible defenses that protect the agent’s utility.
- Yunfan Jiang, Stanford College — Growing scalable approaches to construct generalist robots for on a regular basis duties via hybrid knowledge sources spanning real-world whole-body manipulation, large-scale simulation and internet-scale multimodal supervision.
- Yijia Shao, Stanford College — Researching human-agent collaboration by growing AI brokers that may talk and coordinate with people throughout process execution, and designing new human-agent interplay interfaces.
- Shangbin Feng, College of Washington — Advancing mannequin collaboration: a number of machine studying fashions, educated on completely different knowledge and by completely different individuals, collaborate, compose and complement one another for an open, decentralized and collaborative AI future.
- Shvetank Prakash, Harvard College — Advancing {hardware} structure and methods design with AI brokers constructed on new algorithms, curated datasets and agent-first infrastructure.
- Irene Wang, Georgia Institute of Expertise — Growing a holistic codesign framework that integrates accelerator structure, community topology and runtime scheduling to allow energy-efficient and sustainable AI coaching at scale.
- Chen Geng, Stanford College — Modeling 4D bodily worlds with scalable data-driven algorithms and physics-inspired ideas, advancing bodily grounded 3D and 4D world fashions for robotics and scientific functions.
We additionally acknowledge the 2026-2027 fellowship finalists:
- Zizheng Guo, Peking College
- Peter Holderrieth, Massachusetts Institute of Expertise
- Xianghui Xie, Max Planck Institute for Informatics
- Alexander Root, Stanford College
- Daniel Palenicek, Technical College of Darmstadt
