Tao Wang

I lead a top AI-for-science lab at MD Anderson Cancer Center, specializing in the development and deployment of AI-driven solutions for immunology discovery. Our interdisciplinary research integrates machine learning, statistics, medicine, and biology to extract meaningful insights from high-dimensional biomedical data. Our work focuses on leveraging public and in-house high-throughput datasets to uncover mechanistic insights into human diseases, particularly immunological disorders, with implications for diagnosis, prognosis, and treatment. We apply cutting-edge AI techniques to model T/B cell antigens and receptor sequences at the molecular level, analyze single cell and spatially resolved transcriptomics data at the cellular level, and integrate genomics with electronic medical records at the patient level. By pioneering AI methodologies for multi-scale immunological data, our ultimate goal is to transform patient care through improving disease prediction, treatment personalization, and therapeutic discovery.