13 Facts About Dan Gusfield

Daniel Mier Gusfield is an American computer scientist, Distinguished Professor of Computer Science at the University of California, Davis.

Dan Gusfield received his undergraduate degree in computer science at the University of California, Berkeley, in 1973, his Master of Science degree in computer science from the University of California, Los Angeles, in 1975, and his Ph.

Dan Gusfield joined the faculty at Yale University in Computer Science in 1980, and left in 1986 to join the Department of Computer Science at UC Davis as an associate professor.

Dan Gusfield was made Professor of Computer Science in 1992 and served as the chair of the Department of Computer Science at UC Davis from 2000 to 2004.

Dan Gusfield was named distinguished professor in 2016, which is the highest campus-wide rank at the University of California at Davis.

Dan Gusfield's first published paper in computational biology, "Efficient Algorithms for Inferring Evolutionary History", was initially published as a technical report in 1988, and was published in the journal Networks; this paper is the most cited of Gusfield's papers.

Dan Gusfield was a member of the United States Department of Energy Human Genome Research Program Panel in 1991, and a member of the steering committee for the Rutgers-Princeton DIMACS center special year on Mathematical Support for Molecular Biology from 1994 to 1995.

Dan Gusfield has been a member of the editorial board of the Journal of Computational Biology since its inception in 1996.

Dan Gusfield served as its founding editor in chief until 2009, and later as chair of the TCBB Steering Committee.

Dan Gusfield was more recently an invited visiting scientist at the Simons Institute for the Theory of Computing at UC Berkeley during two of its semester-long programs.

Dan Gusfield has made significant contributions to molecular sequence comparison and analysis, phylogenetic tree and phylogenetic network inference, haplotyping in DNA sequences, the multi-state perfect phylogeny problem using chordal graph theory, and fast algorithms for RNA folding.

Dan Gusfield is most well known for his book Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology, which provides a comprehensive presentation of the algorithmic foundations of molecular sequence analysis for computer scientists, and has been cited more than 8000 times.

Dan Gusfield was named Fellow of the Institute of Electrical and Electronics Engineers in 2015 for contributions to combinatorial optimization and computational biology.