NVIDIA Graduate Fellowship Program Announces 2025-2026 Recipients
Program Overview
For more than two decades, the NVIDIA Graduate Fellowship Program has supported graduate students doing outstanding work relevant to NVIDIA technologies. This prestigious program is open to applicants worldwide and provides up to $60,000 in funding to Ph.D. students involved in research that spans all areas of computing innovation.
2025-2026 Fellowship Recipients
The 10 awardees were selected from a highly competitive applicant pool and will participate in a summer internship preceding the fellowship year. Their projects are focused on accelerated computing, tackling challenges in autonomous systems, computer architecture, computer graphics, deep learning, programming systems, robotics, and security.
- Anish Saxena, Georgia Institute of Technology: Rethinking data movement across the stack to improve the efficiency of LLM training and inference.
- Jiawei Yang, University of Southern California: Creating scalable, generalizable foundation models for autonomous systems through self-supervised learning.
- Jiayi (Eris) Zhang, Stanford University: Developing intelligent algorithms, models, and tools for enhancing user creativity and productivity in design, animation, and simulation.
- Ruisi Cai, University of Texas at Austin: Working on efficient training and inference for large foundation models as well as AI security and privacy.
- Seul Lee, Korea Advanced Institute of Science and Technology: Developing generative models for molecules and exploration strategies in chemical space for drug discovery applications.
- Sreyan Ghosh, University of Maryland, College Park: Advancing audio processing and reasoning by designing resource-efficient models and training techniques.
- Tairan He, Carnegie Mellon University: Researching the development of humanoid robots with a focus on advancing whole-body loco-manipulation through large-scale simulation-to-real learning.
- Xiaogeng Liu, University of Wisconsin–Madison: Developing robust and trustworthy AI systems with an emphasis on evaluating and enhancing machine learning models.
- Yunze Man, University of Illinois Urbana-Champaign: Developing vision-centric reasoning models for multimodal and embodied AI agents.
- Zhiqiang Xie, Stanford University: Building infrastructures to enable more efficient, scalable, and complex compound AI systems.
Fellowship Finalists
The 2025-2026 fellowship finalists are:
- Bo Zhao, University of California, San Diego
- Chenning Li, Massachusetts Institute of Technology
- Dacheng Li, University of California, Berkeley
- Jiankai Sun, Stanford University
- Wenlong Huang, Stanford University
Conclusion
The NVIDIA Graduate Fellowship Program continues to support the next generation of innovators in the field of computing. These talented individuals will have the opportunity to work on cutting-edge research projects and collaborate with industry leaders to shape the future of technology.
Frequently Asked Questions
Q: What is the NVIDIA Graduate Fellowship Program?
A: The NVIDIA Graduate Fellowship Program is a prestigious program that supports Ph.D. students doing outstanding work relevant to NVIDIA technologies.
Q: What is the scope of the program?
A: The program is open to applicants worldwide and provides up to $60,000 in funding to Ph.D. students involved in research that spans all areas of computing innovation.
Q: How many fellowship recipients are selected each year?
A: The program selects 10 fellowship recipients each year from a highly competitive applicant pool.
