Faculty

Hongzhe Li (Lee), Ph.D.

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Perelman Professor in Biostatistics, Epidemiology, and Informatics
Department: Biostatistics and Epidemiology

Contact information
Department of Biostatistics and Epidemiology
University of Pennsylvania Perelman School of Medicine
215 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104-6021
Office: 215-573-5038
Fax: 215-573 1050
Education:
B.S. (Mathematics/Information)
Peking University, 1989.
Ph.D. (Statistics)
University of Washington, 1995.
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Description of Research Expertise

My methods reserach was mostly motivated by problems in genetics and genoimics. I have worked on a variety problems in statistical genetics and genomics, including methods for family-based genetic linkage and association analysis, methods for admixture mapping, methods for genome-wide association analysis, methods for analysis of microarray time course gene expression data, high dimensional regression analysis for genomic data, methods for copy number variation analysis and methods for analysis of next generation sequence data. I have published both statistical methodological research in top statistics/biostatistics journals (JASA, AOS, AOAS, Biometrika, Biometrics, Biostatistics etc ) and in top genetics journals (AJHG, Plos Genetics, etc) and collaborative research in top scientific journals (Science, NEJM, Nature, Nature Genetics, PNAS, Developmental Cell etc).

Selected Publications

Wang, J; Li, H: Estimation of Genetic Correlation with Summary Association Statistics. Biometrika 109(2): 421-438, Jun 2022 Notes: https://doi.org/10.1093/biomet/asab030.

Mennella, J; Li, Y; Bittinger, K; Friedman, E; Zhao, C; Li, H; Wu, G; Trabulsi, J: The Macronutrient Composition of Infant Formula Produces Differences in Gut Microbiota Maturation That Associate with Weight Gain Velocity and Weight Status. Nutrients 14(6): 1241, Mar 2022 Notes: doi: 10.3390/nu14061241.

Mennella, J; Li, Y; Bittinger, K; Friedman, E; Zhao, C; Li, H; Wu, G; Trabulsi, J: The Macronutrient Composition of Infant Formula Produces Differences in Gut Microbiota Maturation That Associate with Weight Gain Velocity and Weight Status. NUTRIENTS 14(6), Mar 2022 Notes: DOI: 10.3390/nu140612.

Li, S; Cai, T; Li, H: Transfer Learning for High-Dimensional Linear Regression: Prediction, Estimation and Minimax Optimality. Journal of the Royal Statistical Society: Series B Stat Methodology 84(1): 149-173, Feb 2022 Notes: doi: 10.1111/rssb.12479. Epub 2021 Nov 16.

Viles, W; Madan, J; Li, H; Karagas, M; Hoen, A: Information Content of Higher-Order Association of the Human Microbiota Network. Annals of Applied Statistics 15(4): 1788-1807, Dec 2021 Notes: doi: 10.1214/21-aoas1449. Epub 2021 Dec 21.

Kondo, A; Ma, S; Lee, M; Ortiz, V; Traum, D; Schug, J; Wilkins, B; Terry, N; Lee, H; Kaestner, K: Highly Multiplexed Image Analysis of Intestinal Tissue Sections in Patients With Inflammatory Bowel Disease. Gastroenterology 161(6): 1940-1952, Dec 2021 Notes: doi: 10.1053/j.gastro.2021.08.055. Epub 2021 Sep 14.

Wu, G; Li, Y; Li, H; Friedman, E; Carr, R; Bittinger, K; Chau, L; Murphy, D; Lee, J; Adorini, L; Erickson, M: Fecal Metabolomic Signatures of Bile and Amino Acids Distinguish Patients with Nash in the Regenerate Study Compared to a Healthy Control Population. HEPATOLOGY  74: 956A-956A, Oct 2021.

Ma, R; Cai, T; Li, H: Optimal Estimation of Bacterial Growth Rates Based on Permutated Monotone Matrix. Biometrika 108(3): 693-708, Sep 2021 Notes: doi.org/10.1093/biomet/asaa082.

Lewis, J; Sandler, R; Brotherton, C; Brensinger, C; Li, H; Kappelman, M; Daniel, S; Bittinger, K; Albenberg, L; Valentine, J; Hanson, J; Suskind, D; Meyer, A; Compher, C; Bewtra, M; Saxena, A; Dobes, A; Cohen, B; Flynn, A; Fischer, M; Saha, S; Swaminath, A; Yacyshyn, B; Scherl, E; Horst, S; Curtis, J; Braly, K; Nessel, L; McCauley, M; McKeever, L; Herfarth, H; DINE-CD Study Group: A Randomized Trial Comparing the Specific Carbohydrate Diet to a Mediterranean Diet in Adults With Crohn's Disease. Gastroenterology 161(3): 837-852.e9, Sep 2021 Notes: doi: 10.1053/j.gastro.2021.05.047. Epub 2021 May 27.

Grams, M; Surapaneni, A; Chen, J; Zhou, L; Yu, Z; Dutta, D; Welling, P; Chatterjee, N; Zhang, J; Arking, D; Chen, T; Rebholz, C; Yu, B; Schlosser, P; Rhee, E; Ballantyne, C; Boerwinkle, E; Lutsey, P; Mosley, T; Feldman, H; Dubin, R; Ganz, P; Lee, H; Zheng, Z; Coresh, J: Proteins Associated with Risk of Kidney Function Decline in the General Population. J Am Soc Nephro 32(9): 2291-2302, Sep 2021 Notes: doi: 10.1681/ASN.2020111607.

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Last updated: 08/03/2023
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