Today we’re joined by Jabran Zahid, a Senior Researcher at Microsoft Research.
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In our conversation with Jabran, we explore their recent endeavor into the complete mapping of which T-cells bind to which antigens through the Antigen Map Project. We discuss how Jabran’s background in astrophysics and cosmology has translated to his current work in immunology and biology, the origins of the antigen map, a walkthrough of the biological aspect of the project, and how the focus was changed by the emergence of the coronavirus pandemic.
We talk through the biological advancements, and the challenges of using machine learning in this setting, some of the more advanced ML techniques that they’ve tried that have not panned out (as of yet), the path forward for the antigen map to make a broader impact, and much more.
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Connect with Jabran!
- Learning to Decode the Immune System to Diagnose Disease
- Paper: Immunosequencing identifies signatures of cytomegalovirus exposure history and HLA-mediated effects on the T cell repertoire
- Discovery of TCR-based signatures across disease areas
- AlphaFold: Using AI for scientific discovery