Agilent Early Career Professor Award

Now accepting applications for 2017 Award

2017 Focus: Contributions to the development and advancement of techniques for the detection of nucleic acids, proteins, or other biomolecules in the context of Liquid Biopsy and its utilization for early detection, characterization and surveillance of cancer and other diseases and conditions.

The purpose of the Agilent Early Career Professor Award is to:

  • Promote and encourage excellent research enabling measurements of importance to Agilent Technologies and the world
  • Establish strong collaborative relationships between Agilent researchers and leading professors early in their career
  • Build the prominence of Agilent as a sponsor of university research

Selection Criteria

  • Significant original research contributions enabling measurements of importance to Agilent Technologies and the world
  • Outstanding potential for future research
  • Alignment with the 2017 Focus: Contributions to the development and advancement of techniques for the detection of nucleic acids, proteins, or other biomolecules in the context of Liquid Biopsy and its utilization for early detection, characterization and surveillance of cancer and other diseases and conditions.
  • Professor completed Ph.D. or M.D. less than 10 years before January 1, 2017.

Award Information

  • An unrestricted research award of $100,000 to be paid to the university in the professor's name
    • Paid over two years
    • Option to use all or part of award to obtain Agilent products at 50% discount
    • Option to accelerate payments to facilitate procurement of equipment with list price over $100k
  • Engraved plaque commemorating award
  • Recognition on Agilent's website

Application Process for 2017:

  • 2017 Nomination Form (.doc, 63kb)
    The nomination form requires contact information, a summary of the nominee's qualifications and future directions (up to 1000 words), a nomination letter (up to 500 words) and a CV. Self-nominations are encouraged. Please do not include any proprietary information.
  • Nomination deadline – January 13, 2017
  • Five finalists will be chosen from the pool of nominees by the Agilent Early Career Professor Award Committee using the criteria above. Finalists are announced by February 15, 2017.
  • Finalists are to submit two letters of recommendation addressing why the candidate is an excellent match to the award selection criteria along with a photo. Deadline – March 15, 2017.
  • The award winner will be announced by May 22, 2017.
  • Award is bestowed upon professor in suitable ceremony. The winner's photo will be posted on the website.
  • Winner is invited to make a presentation at an Agilent site (at Agilent’s expense).
  • Past and present winners’ names are posted on the Agilent website along with articles highlighting the principal academic contributions for which the awardees were selected.


2016 Agilent Early Career Professor Award Winner

2016 Focus: Contribution to the development of advanced Big Data technologies aimed at making breakthroughs in life science research and imaging for clinical diagnostics.

Roeland G.W. Verhaak, Ph.D.

Roeland G.W. Verhaak, Ph.D.
Professor and Associate Director of Computational Biology
The Jackson Laboratory for Genomic Medicine
Farmington, CT

Dr. Verhaak received a M.Sc. in Biomedical Sciences at Radboud University, Nijmegen, the Netherlands in 2000 and a Ph.D. in Medicine from Erasmus University Medical Center, Rotterdam, the Netherlands in 2006. He then conducted his Postdoctoral work at the Department of Medical Oncology, Dana-Farber Cancer Institute/Broad Institute of MIT and Harvard in Cambridge, MA.

Dr. Verhaak’s work on cancer genomics and computational biology and its impact on the molecular characterization of cancer are well known. During his graduate work he demonstrated that gene expression subtyping correlate with genomic alterations of Acute Myeloid Leukemia and provides prognostic value. As part of his postdoctoral research he further demonstrated that clinically distinct subtypes of Glioblastoma can be differentiated based on transcriptional profiling of the tumors.

Dr. Verhaak joined MDACC in 2010 and has built an outstanding research program to analyze terabyte-sized data sets from DNA, RNA, epigenome and other sequencing approaches with the goal of investigating therapy resistance in glioma. In 2015 he published the genomic characteristics of longitudinally sampled glioblastoma tumors and is currently expanding this effort through development of the GLASS consortium.  Dr. Verhaak’s has also been a key player at TCGA and his computational pipelines for massively parallel processing of sequencing and microarray expression data are still being used. Dr. Verhaak joined JAX in October 2016.

His outstanding work has been recognized by a number of awards related to the genomics of glioblastoma, including the Wilson S. Stone Memorial Award in 2011, the Pediatric Brain Tumor Foundation Peter Steck Award in 2013, the Adult Basic Research Award from The Society for Neuro-Oncology in 2014 and the AAAS Martin and Rose Wachtel Cancer Research Award in 2016. (Press release)

 

Past Winners

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