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Benny Ren, Ph.D. Assistant Professor Department of Family, Population and Preventive Medicine Core Faculty, Program in Public Health OFFICE: HSC 3-086C |
Dr. Ren is an Assistant Professor in the Department of Family, Population and Preventive Medicine and Program in Public Health. He is a biostatistician who works on methodological research in longitudinal and time-series data analysis. In particular, he works on statistical computing and inference techniques for large complex correlated datasets. The methods that he developed have been applied to mobile health, digital phenotyping and public health research.
Education:
Ph.D., Biostatistics, University of Pennsylvania (2023)
MS, Computational Biology and Quantitative Genetics, Harvard University (2017)
BS, Applied Mathematics and Statistics, and Economics, Stony Brook University (2015)
Academic Interests:
Longitudinal data analysis, nonparametric statistics, time-series, Bayesian analysis
Select Publications:
Ren B, Barnett I. Combining mixed effects hidden Markov models with latent alternating recurrent event processes to model diurnal active-rest cycles. Biometrics. 2023 Apr 5. https://doi.org/10.1111/biom.13865.
Ren B, Barnett I. Autoregressive mixture models for clustering time series. Journal of Time Series Analysis. 2022; 43(6):918-937. https://doi.org/10.1111/jtsa.12644.
Ren B, Xia CH, Gehrman P, Barnett I, Satterthwaite T. Measuring Daily Activity Rhythms in Young Adults at Risk of Affective Instability Using Passively Collected Smartphone Data: Observational Study. JMIR Form Res. 2022 Sep 14;6(9):e33890. https://doi.org/10.2196/33890.
Ren B, Hwang WT. Modeling post-holiday surge in COVID-19 cases in Pennsylvania counties. PLoS One. 2022;17(12):e0279371. https://doi.org/10.1371/journal.pone.0279371.
