Viruses are constantly circulating and emerging, evolving rapidly to escape immune detection. In response, immune systems continuously adapt to recognize and neutralize these threats. This dynamic interplay shapes disease outcomes and presents a major challenge for predicting viral evolution and developing effective vaccines and therapies.
We aim to create predictive models that can anticipate viral evolution and guide the development of next-generation therapeutics and vaccines.
Research Pillars
Approach
Methods
Dr. Yiquan Wang
Postdocs, Graduate Students, and Collaborators
A surreal scene of tiny explorers marching across piano keys, evoking rhythm in biology and harmony in discovery.
An iconic bacteriophage rendered as a vigilant sentinel, symbolizing precision in viral targeting and therapeutic design.
Light breaks into a dark cavern of virions, capturing the moment of insight when data reveals hidden biological structure.
A tribute to Starry Night, reimagined with molecular textures—where patterns echo stochastic dynamics in evolution.
mRNA technology encapsulated—capturing the interplay between experimental innovation and AI-guided design.
A playful take on affinity maturation: SARS‑CoV‑2 chisels an antibody form, reflecting coevolution and model-guided design.
We are actively recruiting PhD students and postdoctoral researchers.
wang.yiquan@ufl.edu
Veterinary Medicine Academic Building
1945 SW 16th Ave Suite V3-111, Gainesville, FL
https://github.com/Wang-Lab-UF
