William Stafford Noble

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William Stafford Noble
Noble in 2017
NationalityAmerican
Alma materStanford University (B.S.)
University of California, San Diego (Ph.D. 1998)
University of California, Santa Cruz (Postdoc)
Known forApplying machine learning to biological data analysis
Analysis of proteomics data (Percolator)
Sequence analysis (MEME suite)
Kernel methods in biology
Awards
Scientific career
FieldsBioinformatics, Computational biology, Machine learning, Genomics, Proteomics
InstitutionsUniversity of Washington
Columbia University
Websitenoble.gs.washington.edu/~wnoble/ [3]

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]

Education and early career

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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]

Career and research

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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]

Awards and recognition

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Personal life

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Noble formerly used the name William Noble Grundy.[3] His Erdős number is 3.[3]

References

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  1. ^ a b c d e f g h i j k l m n o p q r s t u v w x "ISCB Congratulates the 2019 ISCB Award Winners!". ISCB. February 22, 2019. Retrieved 17 August 2025.
  2. ^ a b c d "Dr. William Noble - July 11, 2018". YouTube. July 11, 2018. Retrieved 17 August 2025.
  3. ^ a b c d e f g "William Stafford Noble - Noble Research Lab - University of Washington". University of Washington. Retrieved 17 August 2025.
  4. ^ a b c "William Stafford Noble". ISCB. May 27, 2019. Retrieved 17 August 2025.
  5. ^ "Data Science Affiliates". escience.washington.edu. Retrieved 2025-04-08.
  6. ^ Käll, Lukas; Canterbury, Jesse D.; Weston, Jason; Noble, William Stafford; MacCoss, Michael J. (November 2007). "Semi-supervised learning for peptide identification from shotgun proteomics datasets". Nature Methods. 4 (11): 923–925. doi:10.1038/nmeth1113. ISSN 1548-7105. PMID 17952086.
  7. ^ a b "William Stafford Noble - Semantic Scholar profile". Semantic Scholar. Retrieved 17 August 2025.
  8. ^ "Authors - MEME Suite". MIT. Retrieved 17 August 2025.
  9. ^ a b "William S. Noble's research works - University of Washington and other places". Retrieved 17 August 2025.
  10. ^ "William Stafford Noble". scholar.google.com. Retrieved 2025-04-08.
  11. ^ a b "William Stafford Noble – Biomedical Informatics and Medical Education". Retrieved 2025-04-08.
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