Past Recipients of the Gilbert S. Omenn Computational Proteomics Award
Gilbert S. Omenn Computational Proteomics Award
This award recognizes the essential nature of computational methodology and software in proteomics. Specifically, this award acknowledges the specific achievements of scientists that have developed bioinformatics, computational, statistical methods and/or software used by the proteomics community, broadly defined. The award is named in honor of Gil Omenn, a US HUPO Past President, leader of the Human Proteome Project, and influential proteomics researcher.
Nominations are now closed for the year. Nominations will be held for three years.
Instructions and Deadlines
The award application must be completed in full to be considered, so please ensure you have all the required documents prior to submitting.
Please collate all materials, including the required supporting documentation into a single PDF prior to uploading. The PDF should include the following documents:
The nomination form must be completed in its entirety to be considered. Incomplete applications will not be reviewed.
The deadline to submit a nomination is Friday, November 13, 2020. Late applications will not be reviewed. Award notifications will be sent to recipients and nominators on December 11, 2020.
2020 Recipient: Jimmy Eng, University of Washington
Jimmy Eng earned his Master’s degree in Electrical Engineering from the University of Washington. He then joined the Yates lab in 1993 at the University of Washington, where he wrote a number of tools including SEQUEST. In 2000, he joined the Institute for Systems Biology where, as a member of the Aebersold lab, he initiated the development of the mzXML data format and spearheaded the open source Trans-Proteomics Pipeline suite of tools. In 2004, he joined the McIntosh lab at the Fred Hutchinson Cancer Research Center, working on computational proteomics approaches applied to the early detection of cancer. And in 2007, Jimmy returned to the University of Washington as the computational lead for the university’s Proteomics Resource, continuing to develop open source tools for the proteomics community. He has co-authored over 150 peer-reviewed journal articles and book chapters.