Trey Ideker

From Wikipedia, the free encyclopedia
Jump to navigation Jump to search
Trey Ideker
ResidenceSan Diego, CA
CitizenshipUnited States
Alma materMassachusetts Institute of Technology (MIT)
University of Washington
AwardsOverton Prize (2009)
Scientific career
InstitutionsUC San Diego
ThesisValidation and refinement of genetic networks in yeast (2001)
Doctoral advisorLeroy Hood

Trey Ideker is a professor of medicine and bioengineering at UC San Diego. He is the Director of the National Resource for Network Biology, the San Diego Center for Systems Biology, and the Cancer Cell Map Initiative. He uses genome-scale measurements to construct network models of cellular processes and disease.[1]


Ideker received Bachelor’s and Master’s degrees from M.I.T. in Electrical Engineering and Computer Science, and his Ph.D. from the University of Washington in Molecular Biology under the supervision of Leroy Hood.[1]

While working with Hood, Ideker was one of the first researchers to publish an integrated computational model of a metabolic network.[2][3] As of 2017, the paper describing this model has been cited over 2,200 times.[4]


Following his PhD, Ideker worked at the Whitehead Institute for Biomedical Research at M.I.T.. In 2003, Ideker joined UC San Diego as an Assistant Professor of Bioengineering. In 2006, became an Associate Professor of Bioengineering and Adjunct Professor of Computer Science. He served as Division Chief of Medical Genetics from 2009 – 2016. Since 2010, he has been a Professor of Medicine and Bioengineering. Ideker has also served as Adjunct Professor at the Moores Cancer Center and has acted as a consultant for companies including Ideaya Biosciences, Inc. and Data4Cure, Inc.[5]

Ideker serves on the Editorial Boards for Cell, Cell Reports, Nature, EMBO, and PLoS Computational Biology and is a Fellow of AAAS and AIMBE.[1][6][7]

In 2013, Ideker, along with Kang Zhang, identified that the molecular aging clock could be measured by blood and tissues, and made use of epigenetic markers.[8]


In 2005, Ideker was named as one of the top innovators in the world under the age of 35 by the MIT Technology Review TR35.[9] The following year, Technology Review named him one of the Top 10 Innovators of 2006.[5] In 2009, he was awarded the Overton Prize by the International Society for Computational Biology in recognition of his significant contribution to the field of computational biology.[3][10]


  1. ^ a b c "Dr. Trey Ideker". UC San Diego Health Sciences. Retrieved 1 September 2017.
  2. ^ Ideker, T; Thorsson, V; Ranish, JA; Christmas, R; Buhler, J; Eng, JK; Bumgarner, R; Goodlett, DR; Aebersold, R; Hood, L (May 4, 2001). "Integrated genomic and proteomic analyses of a systematically perturbed metabolic network". Science. 292 (5518): 929–34. doi:10.1126/science.292.5518.929. PMID 11340206.
  3. ^ a b Morrison Mckay, B. J.; Sansom, C. (2009). "Webb Miller and Trey Ideker to Receive Top International Bioinformatics Awards for 2009 from the International Society for Computational Biology". PLoS Computational Biology. 5 (4): e1000375. doi:10.1371/journal.pcbi.1000375. PMC 2666155. PMID 19390599.
  4. ^ "Trey Ideker - Google Scholar Citations". Retrieved 4 September 2014.
  5. ^ a b "Trey Ideker - Division of Medical Genetics - UC San Diego". Retrieved 4 September 2014.
  6. ^ "Oxford Journals - Science & Mathematics - Bioinformatics - Editorial Board". Retrieved 4 September 2014.
  7. ^ "PLOS Computational Biology Editorial Board". Retrieved 4 September 2014.
  8. ^ Stipp, David (Jul 22, 2013). "Searching for Meaningful Markers of Aging". New York Times. Retrieved Apr 23, 2019.
  9. ^ "2005 Young Innovators Under 35". Technology Review. 2005. Retrieved August 15, 2011.
  10. ^ "Overton Prize". Retrieved 1 September 2017.