Asthma | CHOP Research Institute


Published on
Apr 26, 2024
News highlights this week include the Biomedical Technician Training Program recognition event, new COVID-19 outcomes research, and more.
Published on
Apr 28, 2023
Learn about the home renovations funded by CAPP+ to reduce asthma triggers and more in this week’s edition of In the News.
Published on
Jun 2, 2022
CHOP and Penn researchers discussed the latest findings about the mechanisms of immunity at the CHOP Research Institute 2022 Scientific Symposium.

Dr. Tauber is an attending pulmonologist at Children's Hospital of Philadelpiha, and an associate professor of Clinical Pediatrics at the Perelman School of Medicine of the University of Pennsylvania. Her research focuses on asthma and sleep disordered breathing.

tauberd [at]

Dr. Jyonouchi, is an attending physician with the Division of Allergy and Immunology and the Center for Cornelia de Lange Syndrome and Related Diagnoses at Children's Hospital of Philadelphia. His research focuses on immunodeficiency in Cornelia de Lange syndrome and other genetic syndromes, and asthma.

jyonouchi [at]

The Oliver Lab focuses on revealing mechanisms governing T cell activation and protective immunity. Its goal is to define mechanisms that, when dysregulated, result in autoimmunity or allergic disorders like asthma.

Scientists in the Hill Lab seek to understand how the immune system contributes to the two most common chronic diseases of childhood: allergy and obesity. The lab uses clinical and epidemiological information to guide basic and translational research aimed at understanding the genetic, epigenetic, and immunologic basis of these diseases.

Conducting laboratory, translational, and clinical research to revolutionize medications and therapies aimed at eradicating childhood food allergies.

The Center for Applied Genomics (CAG) develops new and better ways to diagnose and treat children with genetic disorders, including attention-deficit/hyperactivity disorder, asthm

Dr. Shults works to develop statistical methods for longitudinal data that include semi-parametric approaches to account for subject/cluster level associations and maximum likelihood-based approaches for simulation and analysis of discrete longitudinal outcomes that may have overdispersion.

shultsj [at]