(734)763-3801

Applications:
Bioinformatics, Biological Sciences, Clinical Research, Computer Science, Genetics, Genomics, Medical Informatics, Networks, Physics, Precision Health, Public Health
Methodologies:
Algorithms, Artificial Intelligence, Bayesian Methods, Classification, Computational Tools for Data Science, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Theory and Graph-based Methods, High-Dimensional Data Analysis, Machine Learning, Mathematics, Natural Language Processing, Network Analysis, Optimization, Pattern Analysis and Classification, Time Series Analysis
Relevant Projects:

NIH


Connections:

MidSouth Computational Biology & Bioinformatics Society; International Society for Computational Biology (ISCB)

Yongsheng Bai

Research Assistant Professor

Department of Internal Medicine

Dr. Bai’s research interests lie in development and refinement of bioinformatics algorithms/software and databases on next-generation sequencing (NGS data), development of statistical model for solving biological problems, bioinformatics analysis of clinical data, as well as other topics including, but not limited to, uncovering disease genes and variants using informatics approaches, computational analysis of cis-regulation and comparative motif finding, large-scale genome annotation, comparative “omics”, and evolutionary genomics.