Friday, September 8, 2023
Professor Steven Kleinstein, Ph.D. will present Leveraging Shared Data for Systems Immunology: Signatures of Vaccination and Infection at the monthly Data Sharing and Reuse Seminar on Friday, September 8, 2023, at 12 p.m. EDT.
About the Seminar
This seminar will discuss how we can leverage shared data to discover signatures of human vaccination and infection responses. A key example will be work done as part of the NIH Human Immunology Project Consortium (HIPC) where data from ImmPort was compiled and reanalyzed to identify pre-vaccination and temporal signatures of antibody responses that were shared across multiple vaccines.
About the Speaker
Professor Steven Kleinstein is a computational immunologist with a combination of big data analysis and immunology domain expertise. His research interests include both developing new computational methods and applying these methods to study human immune responses. His lab develops the widely used Immcantation framework, which provides a start-to-finish analytical ecosystem for high-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) datasets. He currently co-leads the data coordinating center for the NIH Human Immunology Project Consortium (HIPC).
Prof. Kleinstein is Anthony N. Brady Professor of Pathology at the Yale School of Medicine where he co-directs the Program in Computational Biology & Bioinformatics. He received a B.A.S. in Computer Science from the University of Pennsylvania and a Ph.D. in Computer Science from Princeton University.
About the Seminar Series
The seminar is open to the public and registration is required each month. Individuals who need interpreting services and/or other reasonable accommodations to participate in this event should contact Janiya Peters at 301-670-4990. Requests should be made at least five days in advance of the event.
The National Institutes of Health (NIH) Office of Data Science Strategy hosts this seminar series to highlight exemplars of data sharing and reuse on the second Friday of each month at noon ET. The monthly series highlights researchers who have taken existing data and found clever ways to reuse the data or generate new findings. A different NIH institute or center will also share its data science activities each month.