Bingyi Yang

This paper uses a deep learning model to predict hemagglutination inhibition titers from influenza virus sequences, enabling large-scale antigenic mapping and identifying evolutionary patterns in A(H1N1)pdm and A(H3N2) viruses.

The paper shows that pre-existing immunity to specific influenza antigens biases post-infection antibody responses, altering their dynamics and breadth.

The paper develops a predictive model for the spatial distribution of Aedes aegypti and Aedes albopicti in Florida using climate, host density, and competitive interactions, achieving high validation accuracy.