Yufeng Wu

Yufeng Wu is a Professor in the Department of Computer Science and Engineering at the University of Connecticut. He holds a PhD from the University of California, Davis (2007). His research focuses on computational biology and bioinformatics, particularly in population genomics, phylogenetics, and high-throughput sequencing analysis. He is the developer of software tools such as ScisTree, PedMix2, and GTmix, which address challenges in cell lineage tree inference and ancestry analysis.

Professional roles include Associate Editor for IEEE/ACM Transactions on Computational Biology and Bioinformatics since 2013, and participation in program committees for conferences like RECOMB, ISMB, and BIBM from 2007 to 2024.

His research interests span computational methods for genomic data, including single-cell analysis, phylogenetic network inference, and microbiome studies. Notable contributions include algorithms for detecting genomic variations, ancestry inference, and coalescent-based approaches for population genetics. His work has led to tools widely used in analyzing genetic data from population studies and clinical applications.

Recent research highlights include studies on gut microbiome interactions in multiple sclerosis, scalable phylogenetic network methods, and improvements in single-cell lineage tree construction. He advises students on computational biology projects, with notable collaborations on software development and algorithmic innovations.