Faculty
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Abdelmonem A. Afifi Professor Emeritus Ph.D. | Berkeley Multivariate analysis, discriminant analysis, meta-analysis, multi-level models and risk factor analysis |
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Sudipto Banerjee Chair Ph.D. | U. of Connecticut Bayesian hierarchical modeling and analysis for geographically/spatially referenced data, statistical modeling for physical and environmental processes, and Bayesian computation |
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Thomas R. Belin Ph.D. | Harvard Missing and incomplete data, causal inference, ethics, applied biostatistics, mental health |
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Ron Brookmeyer Dean Ph.D. | U. of Wisconsin Survival analysis, epidemic models, epidemiological methods, clinical trials, HIV/AIDS epidemiology |
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Catherine M. Crespi Ph.D. | UCLA Clustered and longitudinal data; intervention trial design and analysis; missing data methods; cancer prevention and control |
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William G. Cumberland Professor Emeritus Ph.D. | Johns Hopkins Finite population sampling and model based estimation, stochastic processes, HIV/AIDS studies |
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Dorota Dabrowska Professor Emerita Ph.D. | Berkeley Non- and semi-parametric models, survival analysis, counting processes |
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David Elashoff Adjunct Professor Ph.D. | Stanford Bioinformatics, biomarker discovery and validation, translational research, cancer |
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David W. Gjertson Adjunct Professor Ph.D. | UCLA Biostatistics for organ transplantation and DNA identification |
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Steve Horvath Ph.D., Sc.D. | Harvard Bioinformatics, computational biology, cancer research, genetics, epidemiology, machine learning, and systems biology |
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Martin L. Lee Adjunct Professor Ph.D. | UCLA Clinical trials, bioequivalency studies, robust estimation in pharmacokinetics |
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Gang Li Ph.D. | Florida State Survival analysis, longitudinal modeling, high-throughput/ high-dimensional data analysis, semiparametric statistics, and evaluation and development of biomarkers. |
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Honghu Liu Ph.D. | UCLA Sample size and power analysis, statistical design, sampling and patient recruitment, data and statistical analysis |
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Christina Ramirez Ph.D. | CalTech Machine learning, phylogentics, HIV pathogenesis and clinical outcomes |
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Damla Senturk Ph.D. | UC Davis Functional data analysis, high-dimensional and longitudinal data, measurement error models, applications in psychiatry and dialysis research |
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Janet Sinsheimer Interim Chair Biomathematics Ph.D. | UCLA Statistical modeling of genetic and evolutionary data |
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Marc Suchard M.D., Ph.D. | UCLA High-performance statistical computing; observational healthcare data science; partially-observed stochastic processes |
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Catherine Ann Sugar Professor-in-Residence Ph.D. | Stanford Clustering, classification and functional data analysis, Psychiatry, HIV/AIDS and Health Services research |
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Donatello Telesca Ph.D. | U. of Washington Bayesian biostatistics, multivariate analysis, functional data analysis, model selection, Statistical methods in bio- and nano-informatics |
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Robert E. Weiss Ph.D. | U. of Minnesota Bayesian methods; longitudinal and multivariate longitudinal data analysis; hierarchical models; model specification, selection and checking |
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Weng Kee Wong Ph.D. | U. of Minnesota Optimal design of experiments, multiple objective designs, rheumatoid arthritis research |
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Hua Zhou Ph.D. | Stanford Statistical computing, numerical optimization, statistical genetics, medical imaging, applied probability, stochastic modeling of HIV and cancer stem cell dynamics |
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Grace Hyun Kim Ph.D. | UCLA Quantification and modeling of disease phenomena by applying statistics to image data |
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Jingyi Jessica Li Developing new statistical methods for understanding biological questions, especially those related to large-scale genomic and transcriptomic data |
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Hilary Aralis Ph.D. | UCLA Inference for multi-state models with incompletely observed data, uncertainty in Markov and semi-Markov process estimation, latent variable modeling, measurement error in mental health assessment |
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Zhe Fei Ph.D. | University of Michigan, Ann Arbor, U.S. |
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Andrew Holbrook PhD | University of California, Irvine |
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Antonio Pedro Ramos Assistant Project Scientist |
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Fei Yu Ph.D. | UCLA Study design and causal inference, data mining of large complex databases, correlated data, ophthalmology and epidemiology research |
