Maya Deyssenroth

Maya Deyssenroth

Maya Deyssenroth

Assistant Professor
Environmental Health Sciences


630 W. 168th St., Room 16-421D
New York NY 10032
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Maya Deyssenroth is a molecular epidemiologist with a focus on studying pathways through which the placenta conveys intrauterine exposures on postnatal health outcomes. Within this research scope, Dr. Deyssenroth incorporates biostatistical and bioinformatic tools to evaluate multi-pollutant exposures and high dimensional genomic profiles to elucidate signatures reflective of early life programming of health and disease.



BA, 2005, Rutgers University
MA, 2007, Columbia University
DrPH, 2014, Columbia University

Mailman Affiliations

Member, Columbia Center for Environmental Health and Justice in Northern Manhattan

Areas of Expertise

Bioinformatics, Child Health and Development, Environmental Epidemiology, Molecular Epidemiology, Genomics, Birth Outcomes, Maternal Health, Perinatal Epidemiology

Select Publications

Deyssenroth MA, Rosa MJ, Eliot MN, Kelsey KT, Kloog I, Schwartz JD, Wellenius GA, Peng S, Hao K, Marsit CJ, Chen J. "Placental gene networks at the interface between maternal PM2.5 exposure early in gestation and reduced infant birthweight." Environ Res: 199. 111342, 2021.
Kappil (Deyssenroth) MA, Green BB, Armstrong DA, Sharp AJ, Lambertini L, Marsit CJ, Chen J. "Placental Expression Profile of Imprinted Genes Impacts Birth Weight." Epigenetics: 10 (9). 842-9, 2015
Deyssenroth MA, Peng S, Hao K, Lambertini L, Marsit CJ, Chen J. "Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth." BMC Genomics: 18(1).520, 2017
Deyssenroth MA, Gennings C, Liu SH, Peng S, Hao K, Lambertini L, Jackson BJ, Karagas MR, Marsit CJ, Chen J. "Intrauterine multi-metal exposure is associated with reduced fetal growth through modulation of the placental gene network." Environ Int:120.373-381, 2018
Deyssenroth MA, Marsit CJ, Chen J, Lambertini L. "In-depth Characterization of the placental imprintome reveals novel differentially methylated regions across birth weight categories." Epigenetics: 15(1-2). 47-60, 2020
Deyssenroth MA, Colicino E, Curtin P, Niedzwiecki MM, Mazzella M, Sumner SJ, Gao S, Su L, Diao N, Mostofo G, Qamruzzaman Q, Pathmasiri W, Christiani DC, Fennell T, Gennings C. "Quantitative methods for metabolomics analyses evaluated in the Children's Health Exposure Analysis Resource (CHEAR)." J Expo Sci Environ Epidemiol:30(1).16-27, 2020

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