معرفی
Dr. Lin Yan is an Assistant Professor in the Department of Computer Science at Iowa State University. She holds a Ph.D. in Computing from the University of Utah (2022), supervised by Prof. Bei Wang Phillips, and a BS/MS in Automation/Control Science from Shanghai Jiao Tong University. Previously, she was a postdoctoral fellow at Argonne National Laboratory (2022–2023). Her research focuses on topological data analysis, visualization, and machine learning, with applications in scientific data exploration and uncertainty quantification. Recent work emphasizes combining topology, statistics, and visualization to address challenges in large-scale data analysis.
Education:
- Ph.D., Computing, University of Utah, 2022
- M.S., Control Science and Engineering, Shanghai Jiao Tong University, 2013
- B.S., Automation, Shanghai Jiao Tong University, 2010
Research Interests: Her work bridges computational topology and data science, with emphasis on developing algorithms for topology-based visualization, robust data compression, and uncertainty characterization. She explores applications in climate science, scientific computing, and machine learning. Techniques like merge trees, Morse-Smale complexes, and physics-informed tracking frameworks are central to her methodologies.
Awards:
- IEEE VGTC Visualization Doctoral Dissertation Award (2024)
Advising & Grants: While formal advisee lists are not provided, her recent publications indicate collaborative research with postdocs and peers. Grants and funding details are not explicitly stated in the text.
Labs & Teams: Her research group likely engages in interdisciplinary projects with computational scientists and visualization experts, though specific lab names are not mentioned.
