Tao Wang
Associate Professor, Bioinformatics & Computational Biology The University of Texas MD Anderson Cancer Center.
Dr. Wang recently joined MD Anderson Cancer Center as an Associate Professor at the Department of Bioinformatics and Computational Biology. Dr. Wang leads a top AI-for-science lab at MDACC, specializing in the development and deployment of AI-driven solutions for immunology discovery. His interdisciplinary research integrates machine learning, statistics, medicine, and biology to extract meaningful insights from high-dimensional biomedical data. His 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. He applies 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, Dr. Wang’s ultimate goal is to transform patient care through improving disease prediction, treatment personalization, and therapeutic discovery.
Seminars
- Exploring how AI-driven design can shorten traditional affinity maturation cycles and reduce experimental burden
- Questioning whether current AI tools can reliably predict TCR-peptide-HLA interactions
- Defining what success looks like for AI in TCR engineering and the data needed to prove clinical relevance
New Data
