Viruses evolve under a variety of selective pressures, and predicting evolutionary trajectories is a major goal in the field. We are most interested in how viruses balance the trade-offs associated with mutation-induced evasion of existing adaptive immune responses and changes to critical host cell entry mechanisms, most recently explored in the context of SARS-CoV-2 (8, 9, 10, 11, 12). We use rapid engineering of BSL-2-rated pseudoviruses combined with epidemiological data mining, phylogenetic analysis, and biophysical modeling to predict near-term evolutionary trajectories and dynamics. We are pursuing projects related to predicting the evolution of SARS-CoV-2 and other pathogens, engineering immune-evasive gene therapy vectors, and more.