Nir Friedman

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Nir Friedman
Fields Machine Learning and Computational Biology
Institutions Hebrew University of Jerusalem
Alma mater Tel-Aviv University, Weizmann Institute of Science, Stanford University
Doctoral advisor Joseph Halpern
Other academic advisors David Harel, Stuart Russell
Notable students Dana Pe'er
Notable awards Michael Bruno Memorial Award (2010),[1] European Research Council Research Award (2009–2014), Juludan Prize (2007), Sir Zelman Cowen Universities Fund Prize (2007)[2]

Nir Friedman (born 1967) is an Israeli Professor of Computer Science and Biology at the Hebrew University of Jerusalem.[3][4]

His research combines Machine Learning and Statistical Learning with Systems Biology, specifically in the fields of Gene Regulation, Transcription and Chromatin.

Education and research[edit]

Friedman earned his B.Sc degree from Tel-Aviv University (1987) and his M.Sc from the Weizmann Institute of Science (1992).[5] In 1997, he completed his Ph.D. at Stanford under the supervision of Joseph Halpern, in the field of Artificial Intelligence.[6]

After some postdoctoral work at the University of California, Berkeley, he accepted a faculty position at the School of Computer Science,[7] the Hebrew University of Jerusalem.

His highly cited research[8][9] includes work on Bayesian network classifiers[10] (with Danny Geiger and Moises Goldszmidt), Bayesian Structural EM,[11] and the use of Bayesian methods to analyzing gene expression data[12][13][14][15] (with Aviv Regev, Dana Pe'er, Eran Segal, Daphne Koller and David Botstein). More recent works focus on Probabilistic Graphical Models, reconstructing Regulatory Networks, Genetic Interactions, and the role of Chromatin in Transcriptional Regulation (with Oliver Rando)[16]

In 2009, Friedman and Koller published a textbook on Probabilistic Graphical Models.[17] Later that year, he joined the Institute of Life Sciences,[18] and opened an experimental lab where he uses advanced robotic tools to study transcriptional regulation in the yeast Saccharomyces cerevisiae.[19]


  1. ^ "Nir Friedman - Yad Hanadiv". Retrieved 25 May 2016. 
  2. ^ "Young HU biologist wins Australian award". The Jerusalem Post - Retrieved 25 May 2016. 
  3. ^ "Nir Friedman". Retrieved 25 May 2016. 
  4. ^ "Nir Friedman's Lab". Retrieved 25 May 2016. 
  5. ^ "Curriculum Vitae—Nir Friedman" (PDF). Retrieved 25 May 2016. 
  6. ^ "Archived copy". Archived from the original on April 25, 2012. Retrieved October 22, 2011. 
  7. ^ "The Rachel and Selim Benin School of Computer Science and Engineering". Retrieved 25 May 2016. 
  8. ^ "nir friedman - Google Scholar". Retrieved 25 May 2016. 
  9. ^ Search Results for author Friedman N on PubMed.
  10. ^ "Bayesian network classifiers". Retrieved 25 May 2016. 
  11. ^ "The Bayesian structural EM algorithm". Retrieved 25 May 2016. 
  12. ^ Friedman, N.; Linial, M.; Nachman, I.; Pe'er, D. (2000). "Using Bayesian Networks to Analyze Expression Data". Journal of Computational Biology. 7 (3–4): 601–620. doi:10.1089/106652700750050961. PMID 11108481. 
  13. ^ Segal, E.; Shapira, M.; Regev, A.; Pe'er, D.; Botstein, D.; Koller, D.; Friedman, N. (2003). "Module networks: Identifying regulatory modules and their condition-specific regulators from gene expression data". Nature Genetics. 34 (2): 166–176. doi:10.1038/ng1165. PMID 12740579. 
  14. ^ Friedman, N. (2004). "Inferring Cellular Networks Using Probabilistic Graphical Models". Science. 303 (5659): 799–805. doi:10.1126/science.1094068. PMID 14764868. 
  15. ^ Segal, E.; Friedman, N.; Koller, D.; Regev, A. (2004). "A module map showing conditional activity of expression modules in cancer". Nature Genetics. 36 (10): 1090–1098. doi:10.1038/ng1434. PMID 15448693. 
  16. ^ "Nir Friedman". Retrieved 25 May 2016. 
  17. ^ Daphne Koller and Nir Friedman (2009). Probabilistic Graphical Models. MIT Press. ISBN 0-262-01319-3. 
  18. ^ "The Alexander Silberman Institute of Life Sciences". Retrieved 2016-05-25. 
  19. ^ "Robotic Facility". Retrieved 25 May 2016.