Faculty

Haochang Shou, Ph.D.

Associate Professor of Biostatistics in Biostatistics and Epidemiology at the Hospital of the University of Pennsylvania

Department: Biostatistics and Epidemiology

Graduate Group Affiliations

Graduate Group in Epidemiology and Biostatistics

Contact information

Department of Biostatistics, Epidemiology and Informatics
University of Pennsylvania School of Medicine
D006 Richards Medical Research Laboratories
3700 Hamilton Walk
Philadelphia, PA 19104

Office: 215-573-6534

Email:
hshou@pennmedicine.upenn.edu

Education:
B.Sc. (Statistics)
Peking University, China, 2009.
Ph.D. (Biostatistics)
Johns Hopkins Bloomberg School of Public Health, 2014.

Links
The Penn Statistics in Imaging and Visualization Center (PennSIVE)

Permanent link

> Perelman School of Medicine > Faculty > Details

Description of Research Expertise

Dr. Shou’s methodological research mainly focuses on functional data analysis with complex structures. She is particularly interested in novel statistical modeling and estimation techniques for multimodal functional and longitudinal measurements, including neuroimaging and human activity data. Her collaborations span brain disorder studies, mental health, and biomarker evaluation for chronic kidney disease.

Selected Publications

Xu H, Mu S, Bao J, Davatzikos C, Shou H*, Shen L* : High-dimensional mediation analysis reveals the mediating role of physical activity patterns in genetic pathways leading to AD-like brain atrophy. BioData Mining 2025, in press Notes: *co-senior authorship.

Govindarajan, S. T., Mamourian, E., Erus, G., Abdulkadir, A., Melhem, R., Doshi, J., Pomponio, R., Tosun, D., Bilgel, M., An, Y., Sotiras, A., Marcus, D. S., LaMontagne, P. J., Benzinger, T., Espeland, M. A., Masters, C. L., Maruff, P., Launer, L. J., Fripp, J., Johnson, S. C., Morris, J. C., Albert, M., Bryan, N., Resnick, S., Habes, M., Shou, H., Wolk, D., Nasrahllah, I., Davatzikos, C: Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals. Nat Commun 2025, in press.

Tassopoulou V, Shou H, Davatzikos C: Adaptive shrinkage estimation for personalized deep kernel regression in modeling brain trajectories. The Thirteenth International Conference on Learning Representations (ICLR) 2025, accepted Notes: https://openreview.net/forum?id=peX9zpWgg4.

Chintapalli SS, Wang R, Yang Z, Tassopoulou V, Yu F, Bashyam V, Erus G, Chaudhari P, Shou H, Davatzikos C: Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples. Sci Data 11(1): 1330, Dec 2024.

Antoniades M, Srinivasan D, Wen J, Erus G, Abdulkadir A, Mamourian E, Melhem R, Hwang G, Cui Y, Govindarajan ST, Chen AA, Zhou Z, Yang Z, Chen J, Pomponio R, Sotardi S, An Y, Bilgel M, LaMontagne P, Singh A, Benzinger T, Beason-Held L, Marcus DS, Yaffe K, Launer L, Morris JC, Tosun D, Ferrucci L, Bryan RN, Resnick SM, Habes M, Wolk D, Fan Y, Nasrallah IM, Shou H, Davatzikos C: Relationship between MRI brain-age heterogeneity, cognition, genetics and Alzheimer’s disease neuropathology. EBioMedicine 109: 105399, Nov 2024.

Chen AA, Weinstein SM, Adebimpe A, Gur RC, Gur RE, Merikangas KR, Satterthwaite TD, Shinohara RT*, Shou H*: Similarity-based multimodal regression. Biostatistics 25(4): 1122-1139, Oct 2024 Notes: doi: 10.1093/biostatistics/kxad033. *co-senior authorship.

Yang Z, Wen J, Erus G, Govindarajan ST, Melhem R, Mamourian E, Cui Y, Srinivasan D, Abdulkadir A, Parmpi P, Wittfeld K, Grabe HJ, Bülow R, Frenzel S, Tosun D, Bilgel M, An Y, Yi D, Marcus DS, LaMontagne P, Benzinger TLS, Heckbert SR, Austin TR, Waldstein SR, Evans MK, Zonderman AB, Launer LJ, Sotiras A, Espeland MA, Masters CL, Maruff P, Fripp J, Toga AW, O'Bryant S, Chakravarty MM, Villeneuve S, Johnson SC, Morris JC, Albert MS, Yaffe K, Völzke H, Ferrucci L, Nick Bryan R, Shinohara RT, Fan Y, Habes M, Lalousis PA, Koutsouleris N, Wolk DA, Resnick SM, Shou H, Nasrallah IM, Davatzikos C.: Brain aging patterns in a large and diverse cohort of 49,482 individuals. Nat Med 30(10): 3015-3026, Oct 2024 Notes: doi: 10.1038/s41591-024-03144-x.

Wen J, Yang Z, Nasrallah IM, Cui Y, Erus G, Srinivasan D, Abdulkadir A, Mamourian E, Hwang G, Singh A, Bergman M, Bao J, Varol E, Zhou Z, Boquet-Pujadas A, Chen J, Toga AW, Saykin AJ, Hohman TJ, Thompson PM, Villeneuve S, Gollub R, Sotiras A, Wittfeld K, Grabe HJ, Tosun D, Bilgel M, An Y, Marcus DS, LaMontagne P, Benzinger TL, Heckbert SR, Austin TR, Launer LJ, Espeland M, Masters CL, Maruff P, Fripp J, Johnson SC, Morris JC, Albert MS, Bryan RN, Resnick SM, Ferrucci L, Fan Y, Habes M, Wolk D, Shen L, Shou H, Davatzikos C.: Genetic and clinical correlates of two neuroanatomical AI dimensions in the Alzheimer's disease continuum. Transl Psychiatry 14(1): 420, Oct 2024 Notes: doi: 10.1038/s41398-024-03121-5.

Deo R, Dubin RF, Ren Y, Wang J, Feldman H, Shou H, Coresh J, Grams ME, Surapaneni AL, Cohen JB, Kansal M, Rahman M, Dobre M, He J, Kelly T, Go AS, Kimmel PL, Vasan RS, Segal MR, Li H, Ganz P.: Proteomic assessment of the risk of secondary cardiovascular events among individuals with CKD. J Am Soc Nephrol Sep 2024 Notes: doi: 10.1681/ASN.0000000502. Online ahead of print.

Hu F, Lucas A, Chen AA, Coleman K, Horng H, Ng RWS, Tustison NJ, Davis KA, Shou H, Li M, Shinohara RT; Alzheimer's Disease Neuroimaging Initiative.: DeepComBat: A statistically motivated, hyperparameter-robust, deep learning approach to harmonization of neuroimaging data. Hum Brain Mapp 45(11): e26708, Aug 2024 Notes: doi: 10.1002/hbm.26708.