Assistant Professor of Medicine
Brigham and Women's Hospital
Brigham and Women's Hospital
Sleep and Circadian Disorders, room 225C
221 Longwood Ave
Boston MA 02115
Assistant Professor in the Department of Biostatistics
Harvard T.H. Chan School of Public Health
|The Hebrew University of Jerusalem||BSc||03/2008||Mathematics|
I am a biostatistical researcher focusing on genetic and omics analyses of diverse and complex populations. I did my PhD in Biostatistics at the Harvard T.H. Chan School of Public Health, and graduated at 2012. Then, I continued as a postdoctoral fellow there, and later became a research scientist at the Genetic Analysis Center at the University of Washington in Seattle. At UW, I worked on genetic association analyses in the Hispanic Community Health Study/Study of Latinos, and on analysis of whole genome sequencing data from the NHLBI's Trans-Omics in Precision Medicine initiative. In late 2017 I moved to BWH and Harvard University, where I continue to develop and implement methodology for genetic and omics analyses of sleep , cognitive, cardiopulmonary, and metabolic phenotypes, with the goal of understanding the genetic basis of such phenotypes, and how environmental exposures modify the pathways from genotypes to phenotypes. I extensively collaborate with minority population studies such as the Hispanic Community Health Study/Study of Latinos, the Multi-Ethnic Study of Atherosclerosis, the Jackson Heart Study, and more.
Available: 06/01/20, Expires: 05/31/21
The project is to study whether sleep phenotypes interact with genetics to modify risk of cognitive decline and impairment. The students will use known genetic risk factors for Alzheimer's disease and study interaction with various measures of sleep in their effect on cognitive outcomes. The students will further study whether these sleep phenotypes have different distributions among different background group, and whether they explain, in part, disparities in cognitive decline.
Available: 06/01/20, Expires: 06/30/21
Polygenic Risk Scores are summaries of genetic data that predict a certain health and disease outcome.
The students will develop and study a polygenic risk score (PRS) for measures of Obstructive Sleep Apnea (OSA). The student will utilize results from genome-wide association studies and 'omics studies, and depending on interest, will also perform association studies using existing software packages.
The research activities and funding listed below are automatically derived from
NIH ExPORTER and other sources, which might result in incorrect or missing items.
to make corrections and additions.
Sep 1, 2019 - Aug 31, 2021
Leveraging Correlated Traits to Identify Genetic Associations with Sleep Disordered Breathing
Role: Principal Investigator
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