About Our Lab
The Bunyavanich Lab combines tools in epidemiology, genomics, and sequence analysis to study asthma and allergic diseases in human cohorts. Our goal is to better understand and identify risk factors, mechanisms, and potential therapies for these disorders. We are a member of the Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Department of Pediatrics, and Mindich Child Health and Development Institute at the Icahn School of Medicine at Mount Sinai in New York, NY.
Pandey G, Pandey O, Rogers A, Ahsen M, Hoffman G, Raby B, Weiss S, Schadt E, Bunyavanich S. A Nasal Brush-based Classifier of Asthma Identified by Machine Learning Analysis of Nasal RNA Sequence Data. Scientific Reports, 2018: 8:8826.
Watson C, Cohain A, et al., Schadt E, Bunyavanich S. Integrative transcriptomic analysis reveals key drivers of acute peanut allergic reactions. Nature Communications, 2017 Dec; 8(1):1943.
Supinda Bunyavanich, MD, MPH, MPhil Department of Genetics and Genomic Sciences Department of Pediatrics-- Allergy & Immunology Icahn School of Medicine at Mount Sinai New York, NY 10029 Supinda.Bunyavanich at mssm.edu
Fazlollahi M, Lee T, Andrade J, Oguntuyo K, Chun Y, Grishina G, Grishin A, Bunyavanich S. The Nasal Microbiome in Asthma. Journal of Allergy and Clinical Immunology, 2018 Sep;142(3):834-843.e2.
Ahsen ME, Chun Y, Grishin A, Grishina G, Stolovitzky G, Pandey G, Bunyavanich S. NeTFactor, a Framework for Identifying Transcriptional Regulators of Gene Expression-based Biomarkers. Scientific Reports, 2019.
The Institute for Data Science and Genomic Technology is an interdisciplinary group of scientists and engineers who are passionate about using computation and technology to make medicine more precise and personalized. Our research spans several areas of computational biology and biotechnology including systems biology, genomics, and bio- and medical informatics.
Mount Sinai is an internationally recognized leader in clinical and basic science research.