William Stafford Noble | |
|---|---|
| Nationality | American |
| Alma mater | Stanford University (B.S.) University of California, San Diego (Ph.D. 1998) University of California, Santa Cruz (Postdoc) |
| Known for | Applying machine learning to biological data analysis Analysis of proteomics data (Percolator) Sequence analysis (MEME suite) Kernel methods in biology |
| Awards |
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| Scientific career | |
| Fields | Bioinformatics, Computational biology, Machine learning, Genomics, Proteomics |
| Institutions | University of Washington Columbia University |
| Website | noble |
William Stafford Noble (formerly William Noble Grundy [3] ) is an American computational biologist. He is a professor in the Department of Genome Sciences and the Paul G. Allen School of Computer Science & Engineering at the University of Washington. [3] [1] Noble is known for developing machine learning and statistical methods for analyzing biological data, particularly in genomics and proteomics. [1] His research includes work on sequence analysis, kernel methods, genome annotation, the 3D structure of the genome, and the analysis of shotgun proteomics data. [1] He is a recipient of the ISCB Innovator Award and is an ISCB Fellow. [1]
Noble received his undergraduate degree from Stanford University. [2] He spent several years between his undergraduate and graduate studies working for companies and serving for two years in the Peace Corps, teaching mathematics and English in Africa. [2]
He earned his Ph.D. in computer science and cognitive science from the University of California, San Diego (UCSD) in 1998. [4] He then completed a one-year postdoctoral fellowship with David Haussler at the University of California, Santa Cruz. [4]
Following his postdoc, Noble became an assistant professor in the Department of Computer Science at Columbia University. [1] [4]
In 2002, Noble joined the faculty of the Department of Genome Sciences at the University of Washington (UW). [1] [2] He holds a joint appointment in the Paul G. Allen School of Computer Science & Engineering. [3] At UW, he serves as the director of the Computational Molecular Biology Program [1] and is a co-director of the UW 4-Dimensional Genomic Nuclear Organization of Mammalian Embryogenesis (4D GENOME) Center. [3] He is also a Senior Data Science Fellow at the UW eScience Institute. [5]
Noble's research focuses on applying and developing computational methods, particularly from machine learning and statistics, to interpret complex biological datasets. [1] Key areas include:
He has authored over 260 peer-reviewed publications with >100,000 citations [10] and advised numerous postdoctoral fellows and graduate students. [1] [9]
Noble formerly used the name William Noble Grundy. [3] His Erdős number is 3. [3]