معرفی
Mark Chaisson is an Associate Professor in the Department of Quantitative and Computational Biology at the Dornsife College of Letters, Arts and Sciences, University of Southern California. His research focuses on computational methods for structural variation analysis using long-read sequencing and pangenome references.
His primary research interests include computational genomics, structural variation detection, long-read sequencing technologies, pangenome reference construction, tandem repeat analysis, and genome assembly algorithms. He develops computational tools for variant calling and the analysis of complex genomic regions, particularly in human and comparative genomics contexts.
Analysis of his 15 most recent publications (2023-2025) reveals consistent focus on structural variation detection methodologies, with significant contributions to pangenome-based approaches, tandem repeat characterization, and cross-species genomic comparisons. His work spans human neurological disorders (Parkinson's disease), population diversity studies, and non-human genomes (blue whale, Etruscan shrew), demonstrating methodological versatility and biological relevance.
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