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Research Expertise and Interest

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Name

Department

Sam Pimentel

Dept of Statistics

causal inference, health services & policy analysis, biostatistics, discrete optimization

Yoram Rubin

Dept of Civil and Environmental Engineering

risk assessment, hydrogeology, contaminant transport, geostatistics

Daniel Okamoto

Dept of Integrative Biology

population dynamics of exploited species, marine biology, community ecology, ecological modeling, biostatistics

Sophia Rabe-Hesketh

School of Education

biostatistics, educational statistics, latent variable models, missing data methods, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models

Maya L. Petersen

Computational Precision Health Program

School of Public Health

causal inference, precision health, Health AI, targeted learning, HIV, global health, pandemics

Alan Hubbard

School of Public Health

causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health

Mark van der Laan

Dept of Statistics

School of Public Health

targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies

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