Tal Einav, Ph.D.

A white man with dark brown hair wearing a grey collared shirt smiles with his mouth closed and arms crossed in front of a brick wall

Einav is an assistant professor at La Jolla Institute for Immunology. He completed his physics Ph.D. at Caltech, spent a year working as a software developer at Wolfram Research, and did a postdoctoral fellowship in computational immunology at the Fred Hutch Cancer Center in Seattle. This diverse set of skills inspires unique ways of thinking about what the future of immunology could look like.

Sharp Minds November 6, 2023 Lecture Topic

Unraveling the Future: Predicting the Influenza Vaccine Response through Machine Learning

In light of the recent pandemic, we are more aware than ever of the importance of effective vaccination. Immunology is undergoing a paradigm shift in which the objective has expanded from creating a stopgap vaccine against a currently circulating virus to developing a universal vaccine that confers lifelong protection. At the same time, we are coming to appreciate that individuals respond differently to a vaccine, so that the one-size-fits-all approach may not protect the entire population. Join Tal Einav, Ph.D., from La Jolla Institute for Immunology as he describes how his group uses machine learning to dig into the wealth of antibody-virus data to develop more personalized vaccine recommendations.