Publications

Work at UMich:

Preprints

1. Qian, H., Wu, C., Yang, Y., Li, B., Rosenzweig, A. and Wang, M., 2025. Uncovering the Molecular Landscape of Physical Activity: Proteomic Insights from the UK Biobank. medRxiv, pp.2025-06.

2. He, K. and Wang, M., 2025. PABformer: A Multi-Channel Transformer for Physical Activity Behavior Representation and Health Outcome Assessment Using UK Biobank Accelerometer Data. medRxiv, pp.2025-08.

3. Qian, H., Wu, C., Li, B., Rosenzweig, A. and Wang, M., 2025. Plasma Proteomics Linking Primary and Secondary diseases: Insights into Molecular Mediation from UK Biobank Data. medRxiv, pp.2025-08.

4. Wu, C., Li, D., Khetarpal, S.A., Yuan, Z., Huang, S., Guerra, J.R.B., Li, C., Zhou, Q., Quan, M., He, J. and Wang, M., Liang, H., and Rosenzweig, A., 2026. Large-Scale Identification of Novel Protein Biomarkers and Therapeutic Targets in Heart and Brain Disease. medRxiv, pp.2026-01. (accepted by Nature Cardiovascular Research)

5. He, K., Fang, Y., Frank, E., Li, C., Bohnert, A., Sen, S. and Wang, M., 2026. Personalized Insights Derived from Wearable Device Data and Large Language Models to Improve Well-Being. medRxiv, pp.2026-03.

Other work:

1.   Arias-Castro, E* and Wang, M*.  The Sparse Poisson Means Model. Electron. J. Statist. 9(2): 2170-2201 (2015). DOI: 10.1214/15-EJS1066 (co-first author)

     2.   Arias-Castro, E* and Wang, M*. Distribution-free tests for sparse heterogeneous mixtures. Test 26(1) (2017): 71-94. (co-first author)

3.   Wang, M, Ji, Z, Wang, S, Kim, J, Yang, H, Jiang, X, and Ohno-Machado, L. Mechanisms to Protect the Privacy of Families when Using the Transmission Disequilibrium Test in Genome-Wide Association Studies. Bioinformatics, 33(23) (2017): 3716-3725. PMID: 29036461.

4.    Wang, M, Ji, Z, Kim, H, Wang, S, Xiong, L, and Jiang, X. Selecting Optimal Subset to release under Differentially Private M-estimators from Hybrid Datasets. IEEE Trans Knowl Data Eng. 2018 Mar 1; 30(3): 573–584. PMID: 30034201.

5. Stranger, B. E., L. E. Brigham, R. Hasz, M. Hunter, C. Johns, M. Johnson, G. Kopen, W. F. Leinweber, J. T. Lonsdale, A. McDonald, …Wang, M, et al. Enhancing GTEx by bridging the gaps between genotype, gene expression, and disease. Nature Genetics, 11 Oct 2017, 49(12):1664-1670. PMID: 29019975.

6. Arias-Castro*, E, Castro, R*, Tánczos, E*, and Wang, M*. Distribution-Free Detection of Structured Anomalies: Permutation and Rank-Based Scans. Journal of the American Statistical Association, 113(522) (2015): 789-801. (co-first author)

7. GTEx Consortium. The GTEx Consortium atlas of genetic regulatory effects across human tissues. Science.2020 Sep 11;369(6509):1318-1330. PMID: 32913098.

8. Jiang, L*, Wang, M*, Lin, S, Jian, R, Li, X, Chan, JY, Dong, G, Fang, H, Robinson, A, GTEx Consortium, Snyder, MP. A Quantitative Proteome Map of the Human Body. Cell. 2020 Oct 1;183(1):269-283PMID: 32916130. (co-first author)

9. Mishra, T*, Wang, M*, Metwally, AA*, Bogu, GK*, Brooks, AW*, Bahmani, A*, Alavi, A*, Celli, A, Higgs, E, Dagan-Rosenfeld, O, Fay, B, Kirkpatrick, S, Kellogg, R, Gibson, M, Wang, T, Hunting, EM, Mamic, P, Ganz, AB, Rolnik, B, Li, X, and Snyder, MP. Pre-symptomatic detection of COVID-19 from smartwatch data. Nat Biomed Eng 4, 1208–1220 (2020). PMID: 33208926. (co-first author)

10.  Wang, C, Zhou, X, Wang, M, Chen, X. The Impact of SARS-CoV-2 on the Human Immune System and Microbiome. Infectious Microbes & Diseases. 2021 Mar; 3(1): 14–21.

11. Wang, M, Jiang, L, Jian, R, Chan, JY, Liu, Q, Snyder, MP, and Tang, H. RobNorm: Model-Based Robust Normalization Method for Labeled Quantitative Mass Spectrometry Proteomics Data. Bioinformatics. 2021 May 5;37(6):815-821. PMID: 33098413.

12. Keating, BJ, Mukhtar, EH, Elftmann, ED, … Wang M, et al. Early Detection of SARS-CoV-2 and other Infections in Solid Organ Transplant Recipients and Household Members using Wearable Devices. Transpl Int. 2021 Jun;34(6):1019-1031PMID: 33735480.

13. Wang, M, Jiang, L, and Snyder, MP. AdaReg: Data-Adaptive Robust Estimation in Linear Regression with Applications in GTEx Gene Expressions. Stat Appl Genet Mol Biol. 2021 Jul 13;20(2):51-71.PMID: 34252998.

14. Wang, M, Jiang, L, and Snyder, MP. AdaTiSS: A Novel Data-Adaptive Robust Method for Quantifying Tissue Specificity Scores. Bioinformatics. 2021 Dec 7;37(23):4469-4476PMID: 34146104.

15.  Alavi, A*, Bogu, GK*, Wang, M*, Rangan, ES*, Brooks, AW*, Wang, Q, Higgs, E, Celli, A, Mishra, T, Cha, K, Knowles, P, Alavi, A, Bhasin, R, Panchamukhi, S, Celis, D, Honkala, A, Rolnik, B, Li, X, Bahmani, A, and Snyder, MP. Real-time Alerting System for COVID-19 and Other Stress Events Using Wearable Data. Nat Med. 2022; 28(1): 175–184.PMID: 34845389. (co-first author)

16. Duarte, N, Arora, RK, Bennett, G, Wang, M, Snyder, MP, Cooperstock, JR, and Wagner, CE. Deploying wearable sensors for pandemic mitigation: A counterfactual modelling study of Canada’s second COVID-19 wave. PLOS Digital Health 1(9): e0000100.PMID: 36812624.

17. Bridges CM, Donovan LJ, Nippert AR, Wang M, Wu S, Forman TE, Haight ES, Huck NA, Jordan CE, Gardner AS, Nair RV. Newly Repopulated Spinal Cord Microglia Exhibit A Unique Transcriptome And Coincide With Sex-Independent Pain Resolution. The Journal of Pain. 2023 Apr 1;24(4):5-6.

18. Donovan, L. J., Bridges, C. M., Nippert, A. R., Wang, M., Wu, S., Forman, T. E., ... & Tawfik, V. L. (2024). Repopulated spinal cord microglia exhibit a unique transcriptome and contribute to pain resolution. Cell Reports, 43(2).

19. Zhou, X., Shen, X., Johnson, J. S., Spakowicz, D. J., Agnello, M., Zhou, W., ...Wang, M., …, & Snyder, M. P. (2024). Longitudinal profiling of the microbiome at four body sites reveals core stability and individualized dynamics during health and disease. Cell Host & Microbe, 32(4), 506-526. 

20. Bahmani, A., Cha, K., Alavi, A., ... Wang, M., ...., & Snyder, M.P. (2025). Achieving inclusive healthcare through integrating education and research with AI and personalized curricula. Commun Med 5, 356.