Xuan Wang

Xuan Wang is an Assistant Professor in the Department of Computer Science at Virginia Tech (VT), also affiliated with the Sanghani Center for Artificial Intelligence and Data Analytics. Specializing in Natural Language Processing (NLP), Data Mining, and AI applications in healthcare and sciences, their research focuses on weakly-supervised learning, multi-agent systems, and foundation models. They hold a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (UIUC), with additional M.S. degrees in Statistics and Biochemistry from UIUC, and a B.S. in Biological Science from Tsinghua University, China.

Education:

• Ph.D., Computer Science, UIUC (2022)
• M.S., Statistics, UIUC (2017)
• M.S., Biochemistry, UIUC (2015)
• B.S., Biological Science, Tsinghua University (2013)

Research Interests:
Focus on NLP with limited supervision, LLM agents for reasoning, multi-modal science foundation models, and healthcare AI. Current projects include small language model agents, EEG-to-text translation, and gene regulatory network inference.

Grants & Awards:
Recipient of NSF NAIRR Pilot Award (2024-2025), Cisco Research Award (2025), and NAACL Best Demo Award (2021). Active in securing funding for projects in healthcare AI, multi-agent systems, and scientific computing.

Lab & Students:
Mentors PhD/Master students in NLP, data mining, bioinformatics, and AI. Current advisees include Daniel Hajialigol, Zhenyu Bi, Meng Lu, and others. Alumni Yueyan Gu has contributed to large energy models research.

Service & Leadership:
Organized workshops at ACL 2025, VL/HCC 2025, and SDM 2025. Served as co-chair for ICDM 2025 Undergraduate Symposium. Active in tutorial development on AI for science and trustworthy LLMs.