Tao Wang
Associate Professor
The University of Texas MD Anderson Cancer Center at Houston
Department of Bioinformatics and Computational Biology
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.
I am looking for highly motivated, hard-working and independent students seeking bioinformatics and computational biology research experiences for their graduate studies, especially in the area of immune-informatics. I welcome students with background ranging from completely dry to completely wet. Do NOT worry at all if you feel you are interested in our research but do not have the right background – interest and curiosity are way more important than skills and knowledge. And I work very closely with my trainees to address any gaps in skills and knowledge. I am looking forward to a very engaging and exciting journey with my prospective students in our adventure into AI for science.
Education & Training
PhD, University of Texas Southwestern Medical Center, 2015