This year marks the 33rd anniversary of CHOP Research Poster Day, an annual celebration of the groundbreaking research happening throughout Children's Hospital. This event includes poster presentations from trainees and research staff who will share their exciting discoveries with the CHOP community. Please join us in acknowledging the valuable contributions of the next generation of pediatric scientists and clinicians.
Abstract submission is required for displaying a poster at this event. Please note that we will not be able to accommodate presenters who have not submitted an abstract.
Poster session questions can be directed to the Office of Academic Training and Outreach Programs at ATOP@chop.edu.
The theme of the 2026 symposium is Big Data, Omics, and AI and will highlight the remarkable breakthroughs achieved over the last decade by CHOP researchers. We are honored to host two distinguished keynote speakers. Regina Barzilay, PhD, School of Engineering Distinguished Professor of AI and Health at MIT, and Steven E. Brenner, PhD, Professor at the University of California, Berkeley, will deliver keynote presentations.
Regina Barzilay, PhD
School of Engineering Distinguished Professor for AI and Health, MIT
Regina Barzilay is a School of Engineering Distinguished Professor of AI & Health in the Department of Computer Science and the AI Faculty Lead at MIT Jameel Clinic. She develops machine learning methods for drug discovery and clinical AI. In the past, she worked on natural language processing. Her research has been recognized with the MacArthur Fellowship, an NSF Career Award, the AAAI Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity, and the IEEE Frances E. Allen Medal for innovative machine learning algorithms that have led to advances in human language technology and demonstrated impact on the field of medicine. Regina is a member of the National Academy of Engineering, National Academy of Medicine, and the American Academy of Arts and Sciences.
Steven E. Brenner, PhD
Professor, University of California, Berkeley
Steven Brenner’s research is primarily in the area of computational genomics, including genome variation interpretation, genomic privacy, RNA regulation, protein structure evolution, and function prediction. He has a particular interest in the use of genome sequencing in newborns for population screening and new methods for genomic diagnosis.
Brenner’s undergraduate research was in the first genome laboratory, mentored by Walter Gilbert at Harvard. He received his M.Phil. from the Department of Biochemistry at Cambridge University, and earned a Ph.D. from the University of Cambridge and the MRC Laboratory of Molecular Biology where he studied with Cyrus Chothia. Brenner had a fellowship at the Japan National Institute of Bioscience, followed by postdoctoral research supervised by Michael Levitt at Stanford University School of Medicine. He is a founder and chair of the CAGI consortium, co-founder and former chair of the ClinGen Computational Working group.
Brenner has a commitment to supporting open science and career development. His recognitions including being a Miller Professor, a Sloan Research Fellow, a Searle Scholar, an AAAS Fellow, an ISCB Fellow, and a recipient of ISCB’s Overton Prize.
Fei Wang, PhD
Frances and John L. Leob Professor of Medical Informatics, Weill Cornell Medicine, Cornell University
Fei Wang is currently the Frances and John Loeb Professor of Medical Informatics and a tenured Professor in the Department of Population Health Sciences (PHS, primary) the Department of Emergency Medicine (secondary) at Weill Cornell Medicine (WCM), Cornell University. At WCM, he is also the Associate Dean of Data Science and Artificial Intelligence, Chief of the Division of Health Informatics and Artificial Intelligence in PHS, the Founding Director of the Institute of AI for Digital Health (AIDH) and the Founding Co-Director of the Data Coordination Center. He is a Senior Technical Advisor at New York Presbyterian hospital, a Senior Faculty Fellow of Clinical Artificial Intelligence at Cornell Tech, and an Adjunct Scientist at Hospital for Special Surgery (HSS). His research interest is machine learning and artificial intelligence in biomedicine and healthcare. Dr. Wang has published over 400 papers on the major venues of AI and biomedicine, which have received more than 45K citations to date. His H-index is 94. Dr. Wang is an elected fellow of the American Medical Informatics Association (AMIA), the American College of Medical Informatics (ACMI) and the International Academy of Health Sciences and Informatics (IAHSI), and a distinguished member of the Association for Computing Machinery (ACM).
The Networking Reception on May 5th, 2026 is generously sponsored by the CHOP Omics & Big Data Initiative.
The CHOP Omics & Big Data Initiative is bringing us closer to our vision to:
Our vision focuses on further developing, accelerating, and optimizing our omics expertise and infrastructure through the accomplishment of six strategic objectives: