Peter Song

In addition to his position at MBZUAI, Professor Song is a Professor of Biostatistics at the University of Michigan School of Public Health, Ann Arbor. He has published more than 250 peer-reviewed papers, graduated 28 Ph.D. students, and trained six postdoc research fellows. He is IMS Fellow, ASA Fellow and Elected Member of the International Statistical Institute. Professor Song now serves as Area Editor of the Annals of Applied Statistics (Medicine, EHR and Smart Health), Associate Editor of the Journal of American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and the Journal of Multivariate Analysis.

• Ph.D. from the Department of Statistics at the University of British Columbia.
• Master of Science in Applied Mathematics from Southwest Jiatong University.
• Bachelor of Science in Statistics from Jilin University.

• Excellence in Research Award, the U-M School of Public Health, 2022.
• Charles Edison Lecture, University of Notre Dame, 2021.
• Fellow of the Institute of Mathematical Statistics, 2021.
• Fellow of the American Statistical Association, 2018.
• Dresden Senior Fellow, Dresden University of Technology, Germany, 2016-17.
• John-von-Neumann Professorship, Technical University of Munich, Germany, 2013.
• Elected Member of International Statistical Institute, 2011.
• The Dean's Award of Outstanding Teaching, York University, Canada, 2002.

• Zhang L., Wang W., Hu M., Baptist A., Wang P. and Song P.X.K.*: "Supervised learning of outcome-relevant items from a questionnaire via best subset algorithms." Annals of Applied Statistics (to appear), 2025.
• Zheng Z., Yang B. and Song P.X.K.*: "Classification uncertainty quantification: A comparison between bootstrap and conformal ROC confidence bands." Statistica Sinica (to appear), 2025.
• Zhou Y. and Song P.X.K.: "Synergistic self-learning approach to establishing personal nutrition intervention schemes from multiple benefit outcomes in a calcium supplementation trial." Journal of Royal Statistical Society Series, 2025.
• Chan L.S., Li G., Fauman E.B., Yin X., Lasskso M., Boehnke M. and Song P.X.K.*: "DrFARM: Identification and inference for pleiotropic gene in GWAS." Nature Communications, 2025.
• Banker M.M., Zhang L. and Song P.X.K.*: "Regularized scalar-on-function regression analysis to assess functional association of critical physical activity window with biological age." Annals of Applied Statistics, 2024.
• Hu M., Shi X. and Song P.X.K.*: "Collaborative inference for treatment effect with distributed data-sharing management in multicenter studies." Statistics in Medicine 43, 2024
• Liu B., Zhang Q., Xue L., Song P.X.K. and Kang J.: "Robust high-dimensional regression with coefficient thresholding and its application to imaging data analysis." Journal of the American Statistical Association 119, 2024.
• Wang W., Wu S., Zhu Z., Zhou L. and Song P.X.K.*: "Supervised homogeneity fusion: A combinatorial approach." Annals of Statistics 52(1), 2024.
• He Y., Song P.X.K. and Xu G. "Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis." Journal of the Royal Statistical Society Series B 86, 2024.
• Luo L., Zhou L. and Song P.X.K.*: "Real-time regression analysis of streaming clustered data with possible abnormal data batches." Journal of the American Statistical Association 118, 2023.