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Gilbert S. Omenn, PhD (Bio)

Past Recipients of the Gilbert S. Omenn Computational Proteomics Award

  • 2024: Parag Mallick, Stanford University
  • 2023: Bing Zhang, Baylor College of Medicine
  • 2022: Eric Deutsch, Institute for Systems Biology
  • 2021: Nuno Bandeira, University of California, San Diego and Olga Vitek, Northeastern University
  • 2020: Jimmy Eng, University of Washington
  • 2019: Juergen Cox (Max Planck Institute of Biochemistry, Munich)
  • 2018: Hannes Roest (University of Toronto)
  • 2017: Alexey Nesvizhskii (University of Michigan)
  • 2016: Brendan MacLean (University of Washington)

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, and their commitment to diversifying the field. 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 will be held for three years.

Eligibility

  • Current US HUPO membership.
  • The awardee must be available to present at the annual conference February 23-26, 2025 in Philadelphia, PA to receive the award and present the lecture.

Nominations are now closed! Award winners were announced in December 2024.

2025 Recipient: David Fenyo, NYU School of Medicine

Dr. David Fenyö received a PhD in Physics from Uppsala University in Sweden and after switching to computational biology, he did a postdoc at the Rockefeller University, co-founded a bioinformatics company and worked at GE Healthcare. He has over 35 years of experience with all aspects of biomedical data analysis in both academia and industry and his work has resulted in over 250 scientific publications. In 2010 he joined NYU School of Medicine where he is currently Professor of Biochemistry and Molecular Pharmacology, Director for the Ph.D. program in Computational Biomedicine and the Master’s program in Biomedical Informatics. His research focuses on applying data science methods to analyze quantitative data and to model biological systems. His efforts to integrate data from multiple technologies—including mass spectrometry, sequencing, and microscopy—have provided a wide array of powerful tools to discover and verify biomarkers and therapeutic targets in cancer.

US HUPO 

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