Research Areas

High-dimensional Data Analysis，Statistical Inference，Precision Medicine，Causal Inference

Education

2011-2015 Bachelor, Tsinghua University

2015-2018 Master, University of Minnesota

2015-2020 Doctor, University of Minnesota

Work Experience

2024-present Assistant Professor, YAU Mathematical Science Center, Tsinghua University

2021-2024 Assistant Professor, Mathematical Sciences, University of Texas at Dallas

2020-2020 Postdoctoral, Biostatistics，Yale University

Honors and Awards

2018/05 Travel Award of School of Statistics at University of Minnesota

2019/01 Finalist of ASA Nonparametric Statistics Section Student Paper Awards

2022/04 IMS New Researchers Travel Award

2022/08 Travel award of the 2022 IMS New Researchers Conference

Publications

1. Yunan Wu and Lan Wang (2020), “A Survey of Tuning Parameter Selection for High-dimensional Regression”, Annual Review of Statistics and Its Application, Vol. 7, Issue 1, pp. 209-226.

2. Lan Wang, Bo Peng, Jelena Bradic, Runze Li and Yunan Wu (2020), “A Tuning-free Robust and Efficient Approach to High-dimensional Regression”, Journal of the American Statistical Association, 115:532, 1700-1714.

3. Lan Wang, Bo Peng, Jelena Bradic, Runze Li and Yunan Wu (2020), “Rejoinder to ‘A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression’”, Journal of the American Statistical Association, 115:532, 1726-1729.

4. Yunan Wu and Lan Wang (2021), “Resampling-based Confidence Intervals for Model-free Robust Inference on Optimal Treatment Regimes”, Biometrics, 77: 465– 476.

5. Yunan Wu, Lan Wang, and Haoda Fu (2023), “Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension”, Journal of the American Statistical Association, 118:541, 305-314.

6. Boxiang Wang, Yunan Wu, Chenglong Ye (2023), “An Adaptive and Robust Pipeline for Transfer Learning”, Stat, 12(1), e582.