Chancellor’s Professor, Department of Statistics, University of California Irvine
Ph.D., Statistics, the Pennsylvania State University
Qu’s research focuses on solving fundamental issues regarding structured and unstructured large-scale data, and developing cutting-edge statistical methods and theory in machine learning and algorithms on personalized medicine, text mining, recommender systems, medical imaging data and network data analyses for complex heterogeneous data. Before she joins the UC Irvine, Dr. Qu is Data Science Founder Professor of Statistics, and the Director of the Illinois Statistics Office at the University of Illinois at Urbana-Champaign. She was awarded as Brad and Karen Smith Professorial Scholar by the College of LAS at UIUC, a recipient of the NSF Career award in 2004-2009. She is a Fellow of the Institute of Mathematical Statistics, a Fellow of the American Statistical Association, and a Fellow of American Association for the Advancement of Science. She is also a recipient of Medallion Award and Lecturer of IMS in 2024 and Carver Medalist in 2025. She is JASA Theory and Methods co-editor in 2023-2025.
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日期 | 时间 | 会场 | Session | 角色 | 讲题 |
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2025-07-11 | 13:55-14:20 | 百源厅 Baiyuan Hall |
IS042: Advances in machine learning methods for clinical studies IS042: Advances in machine learning methods for clinical studies |
邀请报告 Invited Talk | Stage-Aware Learning for Dynamic TreatmentsStage-Aware Learning for Dynamic Treatments |
2025-07-11 | 15:30-17:10 | 百源厅 Baiyuan Hall |
IS054: New machine and deep learning tools in neuroscience, wearable device and genetics data IS054: New machine and deep learning tools in neuroscience, wearable device and genetics data |
组织者 Organizer | |
2025-07-11 | 15:30-17:10 | 百源厅 Baiyuan Hall |
IS054: New machine and deep learning tools in neuroscience, wearable device and genetics data IS054: New machine and deep learning tools in neuroscience, wearable device and genetics data |
主持人 Chair |