User:Wangqy96: Difference between revisions
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I am | I am Qingyun Wang, an Assistant Professor of the Data Science Department at College of William and Mary. | ||
I graduated | I received my Ph.D. degree from the Siebel School of Computing and Data Science at the University of Illinois at Urbana-Champaign in 2025. Previously, I graduated summa cum laude from Rensselaer Polytechnic Institute with a dual B.S. degree in Computer Science and Mathematics in 2019. From 2017 to 2025, I was a member of the BLENDER Lab and was fortunate to have Prof. Heng Ji as my advisor. I am also grateful for the mentorship from Prof. Jiawei Han, Prof. Lifu Huang, and Prof. Tom Hope. | ||
My research interest lies | I am among the first researchers to develop a virtual scientific research assistant (i.e., PaperRobot) for literature-based discovery by extracting and synthesizing insights from papers. My research interest lies in Automated Literature Understanding and Scientific Discovery. My long-term vision is to develop AI for Scientists (AI4Scientist) tools to effectively accelerate and democratize the entire research lifecycle for scientists, from knowledge acquisition (NAACL ‘21 Best Demo🏆), hypothesis generation, multimedia procedure planning for experiment design, experiment execution, conduction to writing, and evaluating the paper draft. | ||
Latest revision as of 15:11, 18 September 2025
I am Qingyun Wang, an Assistant Professor of the Data Science Department at College of William and Mary.
I received my Ph.D. degree from the Siebel School of Computing and Data Science at the University of Illinois at Urbana-Champaign in 2025. Previously, I graduated summa cum laude from Rensselaer Polytechnic Institute with a dual B.S. degree in Computer Science and Mathematics in 2019. From 2017 to 2025, I was a member of the BLENDER Lab and was fortunate to have Prof. Heng Ji as my advisor. I am also grateful for the mentorship from Prof. Jiawei Han, Prof. Lifu Huang, and Prof. Tom Hope.
I am among the first researchers to develop a virtual scientific research assistant (i.e., PaperRobot) for literature-based discovery by extracting and synthesizing insights from papers. My research interest lies in Automated Literature Understanding and Scientific Discovery. My long-term vision is to develop AI for Scientists (AI4Scientist) tools to effectively accelerate and democratize the entire research lifecycle for scientists, from knowledge acquisition (NAACL ‘21 Best Demo🏆), hypothesis generation, multimedia procedure planning for experiment design, experiment execution, conduction to writing, and evaluating the paper draft.