Wang Lab @UF

Virus-Immune System Coevolution

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.

Coronavirus
Influenza
Adenovirus
Rhinovirus
Herpesvirus
Rotavirus
Papillomavirus
Retrovirus
Bacteriophage

Our Mission

Through Mechanistic Understanding of Sequence Evolution (MUSE), we aim to create interpretable models that can anticipate viral evolution and guide the development of next-generation therapeutics and vaccines.

High-Throughput Automation

High-Throughput Methods & Robotic Automation

Lab-Feedback AI Modeling

Lab-Feedback AI Modeling

AI Agents

AI Agents

Recent Publications

Immunity cover 1

Immunity, 2022

A large-scale systematic survey reveals recurring molecular features of public antibody responses to SARS-CoV-2

Immunity cover 2

Immunity, 2024

An explainable language model for antibody specificity prediction using curated influenza hemagglutinin antibodies

View All Publications

Get in Touch

We are actively recruiting PhD students and postdoctoral researchers.

Email

wang.yiquan@ufl.edu

Location

Veterinary Medicine Academic Building
1945 SW 16th Ave Suite V3-111, Gainesville, FL

GitHub

https://github.com/Wang-Lab-UF