For 25 years, the NVIDIA Graduate Fellowship Program has supported graduate college students doing excellent work related to NVIDIA applied sciences. As we speak, this system introduced the most recent 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 season internship previous the fellowship yr. Their work places them on the forefront of accelerated computing — tackling initiatives in autonomous techniques, laptop structure, laptop graphics, deep studying, programming techniques, 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 complicated bodily AI issues through the use of various priors from internet-scale information to allow sturdy, generalizable intelligence for embodied brokers in the true 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 put in writing 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 purposes, at present securing AI brokers towards immediate injection assaults with normal and sensible defenses that protect the agent’s utility.
- Yunfan Jiang, Stanford College — Creating scalable approaches to construct generalist robots for on a regular basis duties by hybrid information 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 job execution, and designing new human-agent interplay interfaces.
- Shangbin Feng, College of Washington — Advancing mannequin collaboration: a number of machine studying fashions, skilled on completely different information 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 techniques design with AI brokers constructed on new algorithms, curated datasets and agent-first infrastructure.
- Irene Wang, Georgia Institute of Expertise — Creating 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 rules, advancing bodily grounded 3D and 4D world fashions for robotics and scientific purposes.
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
