Michelle Bell
School of Forestry and Environmental StudiesYale University
michelle.bell@yale.edu
Dr. Bell's research addresses air pollution and human health through research that integrates several disciplines, such as environmental engineering. Her research interests include the statistical analysis of the health impacts of air pollution, meteorological and air quality modeling, and policy implications.
Brian S. Caffo
Department of BiostatisticsJohns Hopkins Bloomberg School of Public Health
bcaffo@jhsph.edu | homepage
Dr. Caffo's main research interest is computationally intensive statistical methodology. In particular, Monte Carlo, Markov chain Monte Carlo, the EM algorithm, and stochastic optimization. Other research interests are in the area of modeling categorical data.
Thomas Burke
Department of Health Policy and Management (joint with Department of Environmental Health Sciences and the School of Medicine Department of Oncology)Johns Hopkins Bloomberg School of Public Health
tburke@jhsph.edu
Dr. Burke's research interests include environmental epidemiology, the evaluation of community exposures to environmental pollutants, the assessment and communication of environmental risks, and the application of epidemiology and health risk assessment to public policy.
Peter J. Diggle
Department of Mathematics and StatisticsLancaster University
p.diggle@lancaster.ac.uk | homepage
Dr. Diggle's methodological research interests are in spatial statistics and longitudinal data analysis. Most of his research is motivated by applications in the biomedical or environmental sciences.
Francesca Dominici
Department of BiostatisticsJohns Hopkins Bloomberg School of Public Health
fdominic@jhsph.edu | homepage
Dr. Dominici is focused on environmental epidemiology, toxicology and carcinogenicity, meta-analysis of clinical trials, estimating health costs of smoking, risk adjustment models, and estimation of group performance in health services and research.
Sorina Eftim
Department of BiostatisticsJohns Hopkins Bloomberg School of Health
seftim@jhsph.edu | homepage
BS, Mathematics/Computer Science, University of Pitesti, 1998
MS, Applied Statistics, University of Bucharest, 2000
Alison Geyh
Department of Environmental Health SciencesJohns Hopkins Bloomberg School of Health
ageyh@jhsph.edu
Dr. Geyh's research interests focus primarily on airborne contaminants. She interested in quantifying these contaminants, identifying their source, investigating their chemical composition, and following the routes of human exposure.
Yi Huang
Department of BiostatisticsJohns Hopkins Bloomberg School of Health
yhuang@jhsph.edu | homepage
BS, Atmospheric Sciences, Peking University, 1997
MS, Atmospheric Sciences, University of California-Los Angeles, 2000
Holly Janes
Department of BiostatisticsJohns Hopkins Bloomberg School of Health
hjanes@jhsph.edu | homepage
PhD: Biostatistics, University of Washington, 2005
MS: Mathematics, University of Massachusetts, 2000
BA: Philosophy of Physical Science and mathematical Modeling, Skidmore College, 1998
Dr. Janes's current research in air pollution epidemiology is focused on the application of time series methods to the study of chronic air pollution health effects. She has also studied referent selection and statistical issues involved in air pollution case-crossover studies. Her research interests also include statistical methods and study designs for the evaluation of medical diagnostic and screening tests.
Thomas A. Louis
Department of BiostatisticsJohns Hopkins Bloomberg School of Public Health
tlouis@jhsph.edu | homepage
Dr. Louis's research Interests include environmental, health and public policy and development of related statistical procedures. Methods research includes Bayesian models, analysis of longitudinally and spatially correlated data, small area estimation, analysis of observational studies and research synthesis. Applications include assessing the health effects of airborne particulate matter, quantifying environmental inequity, analysis of pregnancy outcomes, cardio-pulmonary consequences of AIDS therapies, analysis of the United States Renal Data System dialysis database and evaluation of teacher effectiveness.
Aidan McDermott
Department of BiostatisticsJohns Hopkins Bloomberg School of Public Health
amcdermo@jhsph.edu | homepage
Dr. McDermott's research Interests include Biostatistics, Computational algebra, statistical computing, software design, algebraic topology.
Stephen T. Parente
Director of Health Innovation Systems5510 Sycamore Lane North, Plymouth Minnesota 55442
sparente@hsinetwork.com
Roger D. Peng
Department of BiostatisticsJohns Hopkins Bloomberg School of Public Health
rpeng@jhsph.edu | homepage
Dr. Peng is interested in the applications of modern point process methodology to environmental and health data. In particular, he is interested in developing methods for assessing complex multi-dimensional models. Dr. Peng is also interested in statistical computing and software engineering.
Jonathan M. Samet
Department of EpidemiologyJohns Hopkins Bloomberg School of Public Health
jsamet@jhsph.edu
Dr. Samet has focused on the effects of inhaled pollutants, respiratory diseases, cancer, and risk assessment. He has worked extensively on risks posed by indoor and outdoor air pollution. He has conducted research on the effects of radon on miners in New Mexico, and has worked in the development of models of risk assessment for radon. Dr. Samet serves on many committees of the Environmental Protection Agency, the Department of Energy, and the National Institutes of Health and has chaired committees of the National Academy of Sciences.
Kenny Shum
Department of BiostatisticsJohns Hopkins Bloomberg School of Public Health
kshum@jhsph.edu | homepage
BS, Probability and Statistics, McGill University, 2001
Leah J. Welty
Department of BiostatisticsJohns Hopkins Bloomberg School of Public Health
lwelty@jhsph.edu | homepage
Dr. Welty's background is in spatial statistics, most notably in modeling anisotropic random processes and lake algae levels. She is particularly interested in applications of statistics to environmental problems, and is currently investigating alternate formulations of distributed lag models to investigate links between air pollution, temperature, and mortality.
Scott L. Zeger
Department of BiostatisticsJohns Hopkins Bloomberg School of Public Health
szeger@jhsph.edu | homepage
Dr. Zeger 's methodologic research is to develop regression analysis for correlated responses. There are two situations of interest: when observations come in clusters, for example in longitudinal research or in sample surveys; and secondly when a single time series is observed. Generalized linear models have been extended to be applicable in these cases. The new methods for longitudinal studies have been applied in the analysis of morbidity in Indonesian children and in describing disease progression of subjects infected with the human immune-deficiency virus (HIV). The time series methods have been used in the analysis of neuron impulse sequences and monthly reportable disease rates of MMWR.
Yijie Zhou
Department of BiostatisticsJohns Hopkins Bloomberg School of Public Health
yzhou@jhsph.edu
BS, Statistics, University of Science and Technology, 2002