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Event Series: Special Seminar Series
Forecasting the Antibody Response against the Influenza Virus | Tal Einav
May 29, 2024 @ 2:00 pm - 3:30 pm
Abstract: Although influenza is one of the best-studied viruses, vaccine effectiveness remains around 20-50%. A sizable fraction of people exhibit a weak or short-lived antibody response following vaccination, yet we cannot identify these individuals a priori nor ascertain whether a different vaccine would have served them better. In this talk, we demonstrate how machine learning can leverage the wealth of prior studies to forecast each person’s vaccine response. We will discuss when these predictions are accurate, when they fall short, and some of the exciting possibilities for the future of this field.
Bio: Tal Einav’s career path has included a year-long sabbatical as a software developer, teaching courses at the Marine Biology Laboratory (100 hours per week!), and training at Caltech and the Fred Hutch Cancer Center. He runs the Computational Immunology Lab at LJI, and his work blends questions and techniques from computer science and biology to predict how biological systems will behave. In today’s talk, the biological system is everyone in this room, and the question is what will happen when you receive your next influenza vaccine.
