Anru Zhang

Education

• Ph.D. University of Pennsylvania, 2015

Positions

• Eugene Anson Stead, Jr. M.D. Associate Professor
• Associate Professor of Biostatistics & Bioinformatics
• Associate Professor of Computer Science
• Associate Professor in the Department of Electrical and Computer Engineering

Awards, Honors, and Distinctions

• Emerging Leader Award. Committee of Presidents of Statistical Societies (COPSS). 2024
• Tweedie Award. Institute of Mathematical Statistics. 2022
• Gottfried E. Noether Junior Award. American Statistical Association. 2021
• Bernoulli Society New Researcher Award. Bernoulli Society. 2021
• ICSA Outstanding Young Researcher Award. International Chinese Statistical Association. 2021
• NSF CAREER Award. National Science Foundation. 2020

Courses Taught

• STA 915: High-Dimensional Statistics and Machine Learning
• STA 693: Research Independent Study
• COMPSCI 762: High-Dimensional Statistics and Machine Learning
• COMPSCI 393: Research Independent Study
• BIOSTAT 915: High-Dimensional Statistics and Machine Learning

Publications

• Shi P, Martino C, Han R, Janssen S, Buck G, Serrano M, et al. TEMPTED: time-informed dimensionality reduction for longitudinal microbiome studies. Genome Biol. 2024 Dec 19;25(1):317.
• Jiang S, Gai X, Treggiari MM, Stead WW, Zhao Y, Page CD, et al. Soft phenotyping for sepsis via EHR time-aware soft clustering. J Biomed Inform. 2024 Apr;152:104615.
• Zhang AR, Bell RP, An C, Tang R, Hall SA, Chan C, et al. Cocaine Use Prediction With Tensor-Based Machine Learning on Multimodal MRI Connectome Data. Neural Comput. 2023 Dec 12;36(1):107–27.
• Towe SL, Tang R, Gibson MJ, Zhang AR, Meade CS. Longitudinal changes in neurocognitive performance related to drug use intensity in a sample of persons with and without HIV who use illicit stimulants. Drug Alcohol Depend. 2023 Oct 1;251:110923.
• Han R, Zhang AR. Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng. Journal of the Royal Statistical Society Series B: Statistical Methodology. 2023 Sep 1;85(4):1069–70.
• Hao B, Zhang A, Cheng G. Sparse and Low-Rank Tensor Estimation via Cubic Sketchings. IEEE Transactions on Information Theory. 2020 Sep;66(9):5927–64.
• Zhang A, Wang M. Spectral State Compression of Markov Processes. IEEE Transactions on Information Theory. 2020 May;66(5):3202–31.
• Cao Y, Zhang A, Li H. Multisample estimation of bacterial composition matrices in metagenomics data. Biometrika. 2020 Mar 1;107(1):75–92.
• Zhang AR, Luo Y, Raskutti G, Yuan M. ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching. SIAM Journal on Mathematics of Data Science. 2020 Jan;2(2):444–79.
• Zhang AR, Zhou Y. On the non-asymptotic and sharp lower tail bounds of random variables. Stat. 2020 Jan 1;9(1).
• Wan C, Chang W, Zhang Y, Shah F, Lu X, Zang Y, et al. LTMG: a novel statistical modeling of transcriptional expression states in single-cell RNA-Seq data. Nucleic Acids Research. 2019 Oct 10;47(18):e111–e111.
• Zhang A, Han R. Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data. Journal of the American Statistical Association. 2019 Oct 2;114(528):1708–25.
• Zhang A, Brown LD, Cai TT. Semi-supervised inference: General theory and estimation of means. The Annals of Statistics. 2019 Oct 1;47(5).
• Zhang A. Cross: Efficient low-rank tensor completion. The Annals of Statistics. 2019 Apr 1;47(2).
• Zhang A, Xia D. Tensor SVD: Statistical and Computational Limits. IEEE Transactions on Information Theory. 2018 Nov;64(11):7311–38.
• Zhou Q, Ernst PA, Morgan KL, Rubin DB, Zhang A. Sequential rerandomization. Biometrika. 2018 Sep 1;105(3):745–52.
• Cai TT, Zhang A. Rate-optimal perturbation bounds for singular subspaces with applications to high-dimensional statistics. The Annals of Statistics. 2018 Feb 1;46(1).
• Cai TT, Zhang A. Minimax rate-optimal estimation of high-dimensional covariance matrices with incomplete data. Journal of Multivariate Analysis. 2016 Sep;150:55–74.
• Shi P, Zhang A, Li H. Regression analysis for microbiome compositional data. The Annals of Applied Statistics. 2016 Jun 1;10(2).
• Cai T, Cai TT, Zhang A. Structured Matrix Completion with Applications to Genomic Data Integration. Journal of the American Statistical Association. 2016 Apr 2;111(514):621–33.
• Kang H, Zhang A, Cai TT, Small DS. Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization. Journal of the American Statistical Association. 2016 Jan 2;111(513):132–44.
• Cai TT, Zhang A. Inference for high-dimensional differential correlation matrices. Journal of Multivariate Analysis. 2016 Jan;143:107–26.
• Cai TT, Zhang A. ROP: Matrix recovery via rank-one projections. The Annals of Statistics. 2015 Feb 1;43(1).
• Cai TT, Zhang A. Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices. IEEE Transactions on Information Theory. 2014 Jan;60(1):122–32.
• Cai TT, Zhang A. Compressed Sensing and Affine Rank Minimization Under Restricted Isometry. IEEE Transactions on Signal Processing. 2013 Jul;61(13):3279–90.
• Cai TT, Zhang A. Sharp RIP bound for sparse signal and low-rank matrix recovery. Applied and Computational Harmonic Analysis. 2013 Jul;35(1):74–93.
• Li X, Zhang A, Wang M. Estimation of Markov Chain via Rank-Constrained Likelihood. In p. 3033–42.
• Zhang A, Luo Y. Open Problem: Average-Case Hardness of Hypergraphic Planted Clique Detection. In p. 3852–6.