Publications:263
Chris Gennings, PhD
About Me
Dr. Chris Gennings is Director of the Division of Biostatistics and Research Professor in the Department of Environmental Medicine and Climate Science at the Icahn School of Medicine at Mount Sinai and holds a secondary appointment as Research Professor in the Department of Population Health Science and Policy.
An expert in mixtures statistics, Dr. Gennings has been actively engaged in the field for more than 35 years. Her research interests have focused on design and analysis methodologies for studies of chemical mixtures. This has included methods for both toxicology and epidemiology/clinical studies. Recent work includes development of weighted quantile sum (WQS) regression with extensions – a method that is robust to confounding concerns based on complex correlations among exposure to environmental mixtures; development of a personalized nutrition index called My Nutrition Index; development of tests for sufficient similarity, a novel approach that complements current cumulative risk assessment methods and does not require the default assumption of additivity; extensions to the distributed lag model that accommodates mixtures, called lagged WQS; and a new class of nonlinear statistical models that incorporate and evaluate regulatory guideline values in analyses of health effects associated with exposure to chemical mixtures.
At Mount Sinai, Dr. Gennings serves as Director of the Statistical Services Resource for the Human Health Exposure Analysis Resource (HHEAR) Data Center, which provides multi-disciplinary expertise in statistics, epidemiology, and bioinformatics for collaboration within the broader environmental health research community. She is also Director of the Biostatistical Core for the P30 Center on Health and Environment Across the LifeSpan (HEALS).
Prior to joining Mount Sinai in 2014, Dr. Gennings held positions at the Virginia Commonwealth University, including as Professor in the Department of Biostatistics and Director for the Research Incubator for the Center for Clinical and Translational Research.
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Position
About Me
Dr. Chris Gennings is Director of the Division of Biostatistics and Research Professor in the Department of Environmental Medicine and Climate Science at the Icahn School of Medicine at Mount Sinai and holds a secondary appointment as Research Professor in the Department of Population Health Science and Policy.
An expert in mixtures statistics, Dr. Gennings has been actively engaged in the field for more than 35 years. Her research interests have focused on design and analysis methodologies for studies of chemical mixtures. This has included methods for both toxicology and epidemiology/clinical studies. Recent work includes development of weighted quantile sum (WQS) regression with extensions – a method that is robust to confounding concerns based on complex correlations among exposure to environmental mixtures; development of a personalized nutrition index called My Nutrition Index; development of tests for sufficient similarity, a novel approach that complements current cumulative risk assessment methods and does not require the default assumption of additivity; extensions to the distributed lag model that accommodates mixtures, called lagged WQS; and a new class of nonlinear statistical models that incorporate and evaluate regulatory guideline values in analyses of health effects associated with exposure to chemical mixtures.
At Mount Sinai, Dr. Gennings serves as Director of the Statistical Services Resource for the Human Health Exposure Analysis Resource (HHEAR) Data Center, which provides multi-disciplinary expertise in statistics, epidemiology, and bioinformatics for collaboration within the broader environmental health research community. She is also Director of the Biostatistical Core for the P30 Center on Health and Environment Across the LifeSpan (HEALS).
Prior to joining Mount Sinai in 2014, Dr. Gennings held positions at the Virginia Commonwealth University, including as Professor in the Department of Biostatistics and Director for the Research Incubator for the Center for Clinical and Translational Research.