Pan obtained her Ph.D. degree in 2024 from the Department of Statistics and Data Science at National University of Singapore. Before that, she received her B.S. degree in Mathematics from the Chu Kochen Honors College of Zhejiang University. Her research interests include semiparametric analysis, change point detection, and subgroup identification. She is currently working on developing statistical criteria to enhance the rigor in single-cell data preprocessing.

 

Google Scholar: https://scholar.google.com/citations?user=P1xE1RsAAAAJ&hl=en

 

 

Liu, P., Li, J., and Kosorok, M. R. (2023). Change plane model averaging for subgroup identification. Statistical Methods in Medical Research 32(4): 773-788.

Link: https://doi.org/10.1177/09622802231154327

Software: https://github.com/chrystal23/HumC

 

Liu, P., and Li, J. (2024). Segment regression model average with multiple threshold variables and multiple structural breaks. Canadian Journal of Statistics 52(1): 131-161.

Link: https://doi.org/10.1002/cjs.11764

Software: https://github.com/chrystal23/CPMA

 

Feng, Q., Liu, P., Kuan, P. F., Zou, F., Chen, J., and Li, J. (2023). A network approach to compute hypervolume under receiver operating characteristic manifold for multi‐class biomarkers. Statistics in Medicine 42(6): 834-859.

Link: https://doi.org/10.1002/sim.9646

Software: https://github.com/chrystal23/CPMA

 

Wang, K. A., Bian, X., Liu, P., and Yan, D. (2019, December). DC 2: a divide-and-conquer algorithm for large-scale kernel learning with application to clustering. In 2019 IEEE International Conference on Big Data (Big Data) (pp. 5603-5610). IEEE.

Link: https://doi.org/10.1109/BigData47090.2019.9006565

 

Wu, Z., Lin, W., Liu, P., Chen, J., and Mao, L. (2019). Predicting long-term scientific impact based on multi-field feature extraction. IEEE Access 7: 51759-51770.

Link: https://doi.org/10.1109/ACCESS.2019.2910239