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Gilbert S. Omenn, PhD (Bio)

Past Recipients of the Gilbert S. Omenn Computational Proteomics Award

  • 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.

Current US HUPO membership.
The awardee must be available to present at the annual conference to receive the award and present the lecture.

2024 Recipient: Parag Mallick, Stanford University

Parag Mallick is an Associate Professor at Stanford University. Originally trained as an engineer and biochemist, his research spans proteomics, computational and experimental systems biology, cancer biology and nanotechnology. Dr. Mallick received his B.S. in Computer Science from Washington University in St. Louis. He then obtained his Ph.D. from UCLA in Chemistry & Biochemistry, where he worked with Dr. David Eisenberg. He completed his post-doctoral studies at The Institute for Systems Biology with Dr. Ruedi Aebersold.

In addition to developing computational proteomics methods the Mallick lab has been pioneering systems-biology approaches towards understanding disease mechanisms, discovering biomarkers and enabling personalized medicine. In addition, his group has been developing model-based and physics-based approaches to machine learning. Beyond Stanford, Parag is co-founder of Nautilus Biotechnology, a company developing a next generation, single-molecule, protein analysis platform.


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