Qingyun Wang

Qingyun Wang is an incoming Assistant Professor in the Department of Data Science at William & Mary, starting August 2025. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (Siebel School of Computing and Data Science, 2025) and a dual B.S. in Computer Science and Mathematics from Rensselaer Polytechnic Institute (2019). His research focuses on AI for Scientists (AI4Scientist), aiming to automate and democratize the scientific research lifecycle. Key areas include multimodal scientific LLMs, few-shot knowledge acquisition, and human-AI collaborative frameworks.

• Education:
• Ph.D., Siebel School of Computing and Data Science, UIUC (2025)
• B.S. (summa cum laude), Computer Science & Mathematics, Rensselaer Polytechnic Institute (2019)

He has developed foundational tools like PaperRobot (ACL 2019) and SciMON, emphasizing automated literature understanding and scientific discovery. Recent work includes organizing workshops on Scaling Environments for Agents (NeurIPS 2025) and VISTA at ICDM 2025. Awards include the NAACL 2021 Best Demo Award for COVID-19 literature analysis tools.

His lab explores AI-driven research lifecycle tools (e.g., hypothesis generation, experiment design), with notable collaborations in medical research, molecular science, and cross-lingual AI systems. He actively recruits PhD students and interns for funded research roles.