معرفی
Liming Cai is a Professor at the University of Georgia, specializing in computational biology, phylogenetics, and algorithm design. His research integrates bioinformatics with machine learning to address complex problems in genomics and evolutionary biology. He is particularly known for developing novel methods in RNA structure prediction and phylogenetic analysis.
Research interests include molecular evolution, plant systematics, and the application of graph theory to biological data. Dr. Cai's work bridges the gap between algorithmic innovation and biological discovery, with a focus on tools like PhyloHerb for genome skimming analysis and k-tree models for structural prediction.
His recent articles emphasize advancements in phylogenetic resolution for challenging plant groups (e.g., legumes, parasitic plants), RNA structural modeling, and overcoming computational bottlenecks in large-scale genomic data processing.
Academic contributions include over 50 peer-reviewed publications, with a focus on high-impact journals in computational biology and evolutionary genomics. His research has been applied to understanding plant-insect coevolution, mitochondrial evolution in parasitic plants, and the development of universal DNA barcoding systems.
