UT Southwestern Medical Center

PROF. Tao Wang

I lead a top AI-for-science lab at UT Southwestern Medical 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.

Read More

Research Interests

Mapping the Functional Landscape of T Cell Receptor Repertoire by Single T Cell Transcriptomics

Learn more

Deep learning-based prediction of the T cell receptor-antigen binding specificity

Learn more

Mapping Cellular Interactions from Spatially Resolved Transcriptomics Data

Learn more

Selected Publications

MORE PULICATIONS
Mapping Cellular Interactions from Spatially Resolved Transcriptomics Data. Nature Methods. 2024.
Netie: Inferring the evolution of neoantigen-T cell interactions in tumors. Nature Methods. 2022 publisher's website
Benisse for Interpreting the B Cell Receptor Repertoire with Single Cell Gene Expression. Nature Machine Intelligence. 2022.
Deep learning-based prediction of the T cell receptor-antigen binding specificity. Nature Machine Intelligence. 2021. publisher's website
Mapping the Functional Landscape of T Cell Receptor Repertoire by Single T Cell Transcriptomics. Nature Methods. 2020. publisher's website
Tumor Neoantigenicity Assessment with CSiN Score Incorporates Clonality and Immunogenicity to Predict Immunotherapy Outcomes. Science Immunology. 2020. publisher's website

News

Follow us on twitter: https://twitter.com/TaoWang27112003