Han Liang
Professor
The University of Texas MD Anderson Cancer Center
Department of Bioinformatics and Computational Biology
The fundamental question driving our research paradigm is how to take full advantage of cancer genomic data to elucidate the molecular basis of human cancer and develop effective therapeutic strategies, thereby contributing to the true promise of personalized or precision cancer therapy. Combining both computational and experimental approaches, my group research focuses on the following areas. (i) AI-driven bioinformatic tool development (ii) Characterization of Tumor-Intrinsic Vulnerabilities for Precision Oncology (iii) Characterization of Tumor-Microenvironment Vulnerabilities for Cancer Immunotherapy (iv) RNA modification in Cancer Development and Therapy
Education & Training
Ph.D. - Princeton University - 2006