Nir Friedman Explained

Nir Friedman
Fields:Machine Learning and Computational Biology
Workplaces:Hebrew University of Jerusalem
Alma Mater:Tel Aviv University, Weizmann Institute of Science, Stanford University
Doctoral Advisor:Joseph Halpern
Academic Advisors:David Harel, Stuart Russell
Notable Students:Dana Pe'er
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

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] includes work on Bayesian network classifiers[9] (with Danny Geiger and Moises Goldszmidt), Bayesian Structural EM,[10] and the use of Bayesian methods to analyzing gene expression data[11] [12] [13] [14] (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)[15]

In 2009, Friedman and Koller published a textbook on Probabilistic Graphical Models.[16] Later that year, he joined the Institute of Life Sciences,[17] and opened an experimental lab where he uses advanced robotic tools to study transcriptional regulation in the yeast Saccharomyces cerevisiae.[18]

Notes and References

  1. Web site: Nir Friedman - Yad Hanadiv. Yadhanadiv.org.il. 25 May 2016. https://web.archive.org/web/20160625132958/http://www.yadhanadiv.org.il/recipient/nir-friedman. 25 June 2016. dead.
  2. Web site: Young HU biologist wins Australian award. The Jerusalem Post - JPost.com. 25 May 2016.
  3. Web site: Nir Friedman. Cs.huji.ac.il. 25 May 2016.
  4. Web site: Nir Friedman's Lab. Systemsbio.cs.huji.ac.il. 25 May 2016.
  5. Web site: Curriculum Vitae—Nir Friedman. Cs.huji.ac.il. 25 May 2016.
  6. Web site: Archived copy . October 22, 2011 . dead . https://web.archive.org/web/20120425083007/http://www-robotics.stanford.edu/~nir/Abstracts/Thesis.html . April 25, 2012 .
  7. Web site: The Rachel and Selim Benin School of Computer Science and Engineering. Cs.huji.ac.il. 25 May 2016.
  8. Web site: nir friedman - Google Scholar. Scholar.google.com. 25 May 2016.
  9. Web site: Bayesian network classifiers. Cs.huji.ac.il. 25 May 2016.
  10. Web site: The Bayesian structural EM algorithm. Cs.huji.ac.il. 25 May 2016.
  11. Friedman . N. . Linial . M. . Nachman . I. . Pe'er . D. . Using Bayesian Networks to Analyze Expression Data . Journal of Computational Biology . 7 . 3–4 . 601–620 . 2000 . 11108481 . 10.1089/106652700750050961. 10.1.1.191.139 .
  12. Segal . E. . Shapira . M. . Regev . A. . Pe'er . D. . Botstein . D. . Koller . D. . Friedman . N. . 10.1038/ng1165 . Module networks: Identifying regulatory modules and their condition-specific regulators from gene expression data . Nature Genetics . 34 . 2 . 166–176 . 2003 . 12740579. 6146032 .
  13. Friedman . N. . Inferring Cellular Networks Using Probabilistic Graphical Models . 10.1126/science.1094068 . Science . 303 . 5659 . 799–805 . 2004 . 14764868. 2004Sci...303..799F . 6819971 .
  14. Segal . E. . Friedman . N. . Koller . D. . Regev . A. . A module map showing conditional activity of expression modules in cancer . 2271138 . 10.1038/ng1434 . Nature Genetics . 36 . 10 . 1090–1098 . 2004 . 15448693 . free .
  15. Web site: Nir Friedman. Cs.huji.ac.il. 25 May 2016.
  16. Book: Daphne Koller and Nir Friedman. Probabilistic Graphical Models. MIT Press . 2009. 978-0-262-01319-2.
  17. Web site: The Alexander Silberman Institute of Life Sciences. Bio.huji.ac.il. 2016-05-25. https://web.archive.org/web/20160426002630/http://bio.huji.ac.il/eng/. 2016-04-26. dead.
  18. Web site: Robotic Facility. Systemsbio.cs.huji.ac.il. 25 May 2016.