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Catherine E. Costello, PhD (Bio)

Past Recipients of the Catherine E. Costello Lifetime Achievement in Proteomics Award

  • 2023: Gilbert Omenn, University of Michigan
  • 2022:Catherine Fenselau, Johns Hopkins School of Medicine
  • 2021: Brian Chait, The Rockefeller University
  • 2020: Ruedi Aebersold, ETH Zurich
  • 2019: Catherine E. Costello (Boston University School of Medicine) 


Catherine E. Costello Award for Exemplary Achievements in Proteomics

The Catherine E. Costello Award for Exemplary Achievements in Proteomics (formerly the Catherine E. Costello Lifetime Achievement in Proteomics Awardrecognizes an individual who has made significant discoveries and accomplished scientific achievements in the field of proteomics. In the spirit of Dr. Costello’s stellar career, efforts in mentoring and diversity, equity and inclusion are encouraged to be included in the application. Eligibility is restricted to US HUPO members who are >15 years in their profession and nominations of active researchers are encouraged. Nominations will be held for three years.  

Eligibility
US HUPO members who are >15 years in their profession.
The awardee must be available to present at the annual conference March 9-13, 2024 in Portland, Oregon to receive the award and present the lecture.

2024 Recipient: Jennifer Van Eyk, Cedars-Sinai Medical Center

Jennifer Van Eyk, PhD: Dr. Van Eyk is a Professor of Medicine at Cedars-Sinai Medical Center, Director of the Basic Science Research in the Barbra Streisand Woman’s Hearth Center and Director of the new Advance Clinical Biosystems Institute where she recently moved from Johns Hopkins University.

Most recently she has become the co-director of the Cedars Sinai Precision Health, focused on in-hospital and population individualization of health care. Dr. Van Eyk is an international leader in the area of clinical proteomics and her lab has focused the developing technical pipelines for de novo discovery and larger scale quantitative mass spectrometry methods. This includes multiple reaction monitoring (MRM, also known as SRM) and most recently data independent acquisition.

Her laboratory is well known for the extreme technical quality of the data generated, rigorous quality control with tight %CV while applying these to key clinical questions. The aim is to maximize throughput and reproducibility in order to move targeted and robust discovery methods into large population healthy continuous assessment and clinical grade assays focusing on brain and cardiovascular diseases.

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