Furong Lab · University of Maryland
People building trustworthy AI.
A research community spanning foundation models, reasoning, robotics, safety, fairness, and learning theory.
Prospective students
Interested in building trustworthy foundation-model systems?
Start by exploring the lab’s research pillars and recent projects. Strong applicants usually demonstrate depth through research, substantial technical projects, or careful engagement with problems in agents, robotics, reasoning, safety, multimodal learning, or learning theory.
Ph.D. admission is handled through the University of Maryland Department of Computer Science. Please use the official admissions process rather than sending application materials by email.
Current group
Postdoctoral researcher.
Working across robotics, multimodal learning, world models, and trustworthy foundation models.
Current group
Doctoral advisees.
Names link to personal research profiles where one is available. Portraits will continue to be added as new group members join.
Alumni outcomes
Great researchers, building what comes next.
Graduates and former advisees carry Furong Lab’s work into leading research organizations, industry laboratories, and academia.
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On the market
Researchers ready for their next chapter.
Meet recent Furong Lab graduates currently exploring research and industry opportunities.
Aakriti Agrawal
Ph.D. · Computer Science
2026On the market
Xiyao Wang
Ph.D. · Computer Science
2026Tencent Hunyuan · North America
Xiaoyu Liu
Ph.D. · Computer Science
2025Google
Tahseen Rabbani↗
Ph.D. · Computer Science
2024University of Chicago · Postdoctoral Researcher with Ce Zhang
Jiahao Su
Ph.D. · Electrical & Computer Engineering
2022Amazon Rufus · Seattle