In this episode of On AIRR, we welcome Dr. Bjoern Peters, Professor at the La Jolla Institute for Immunology, to discuss the crucial role of high-quality data in AI-driven immunological predictions and diagnostics.
Dr. Peters shares his journey from theoretical physics to MHC-binding prediction, leading to his work on the Immune Epitope Database (IEDB) — the world’s largest resource for immune epitope data. He highlights how good data often outcompete algorithmic improvements and discusses the challenges of data standardization in immunology. The conversation also delves into epitope prediction, AIRR sequencing for diagnostics, and the need for rigorous model validation in clinical applications.
Listen now via your favorite podcast platform or here: http://onairr.airr-community.org. New episodes will be released monthly.