UTMThe University of Texas MD Anderson Cancer Center · Mathematics & Statistics
Wang Bioinformatics Lab
Tao Wang · Houston, Texas
Research Focus
Dr. Tao Wang's lab focuses on using machine learning to analyze complex biological data, specifically to predict interactions between antigens and antibodies. Their research aims to enhance our understanding of the immune system, contributing to the development of new diagnostic tools and therapeutic antibodies for autoimmune diseases. By combining advanced sequencing technologies and deep learning models, the lab addresses critical challenges in immunology and bioinformatics.
machine learningantigen-antibody interactionsdeep learningbioinformaticsautoimmune diseaseshigh-throughput sequencingB cell receptorsimmunologytherapeutic antibodies
Research Aims
3AIM 01Develop deep learning models to predict antibody-antigen interactions from sequencing data.
AIM 02Integrate B cell transcriptomics with BCR sequences to enhance prediction accuracy.
AIM 03Identify PD-L1-based PD-1 agonistic antibodies for autoimmune disorder applications.
Skills the Lab Values
machine learningdeep learninghigh-throughput sequencing technologiesbioinformaticsdata analysisscRNA-seqBCR-seqPython programmingprotein structure predictionantibody characterization
Output against the department
Publications1,158top 3% of dept.4th of 131
this lab
most publishedleast published
Citations39ktop 14% of dept.18th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.