Zijun Gao is a tenure-track assistant professor in the Department of Data Sciences and Operations at USC Marshall Business School. She received her Ph.D. in Statistics from Stanford University in 2022 supervised by Professor Trevor Hastie. She served as a research associate in the Statistical Lab at the University of Cambridge from 2022 to 2023 hosted by Professor Qingyuan Zhao. Her research focuses on the estimation and inference problems in causal inference with heterogeneity, with side interests in distribution learning, selective inference, and model evaluation. She also works on real-world data motivated topics, with a specific emphasis on the applications in adaptive clinical trial and personalized medication.
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日期 | 时间 | 会场 | Session | 角色 | 讲题 |
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2025-07-13 | 10:30-10:55 | 祥云厅 Xiangyun Hall |
IS010: 大模型与深度学习 IS010: Large Language Model and Deep Learning |
邀请报告 Invited Talk | Trustworthy assessment of heterogeneous treatment effect estimator via analysis of relative errorTrustworthy assessment of heterogeneous treatment effect estimator via analysis of relative error |