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Ian Holmes is a Professor in the Department of Bioengineering at the University of California, Berkeley. He specializes in Computational Biology, drawing on techniques such as machine learning, statistical linguistics, and phylogenetics to interpret and analyze genomic data. His research includes applications of context-free grammars for understanding DNA and RNA structures, the use of phylogenetic methods for genome annotation, and the detection of recombination breakpoints. Holmes' work also involves developing machine learning algorithms for bioinformatics models and reconstructing evolutionary histories through analyzing insertion, deletion, and transposition events in genomes. He has contributed to metagenomics with statistical algorithms for species distribution analysis and created dynamic-HTML web applications for collaborative genomic data analysis. Holmes received his Ph.D. in Genetics from the University of Cambridge in 1998 and has held several academic positions, including lecturer at the University of Oxford and associate with the Howard Hughes Medical Institute, working on the Drosophila Genome Project.
University of California, Berkeley • Berkeley, CA
Leading research in Computational Biology and teaching at the university.
University of California, Berkeley • Berkeley, CA
Conducted research and taught courses in Computational Biology.
University of California, Berkeley • Berkeley, CA
Engaged in teaching and research in Bioengineering.
University of Oxford • Oxford, UK
Taught Bioinformatics courses to students.
European Molecular Biology Laboratory • Hinxton, UK
Involved in the ENSEMBL Human Genome Annotation Project.
Howard Hughes Medical Institute • Berkeley, CA
Worked on the Berkeley Drosophila Genome Project.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.