Adrienne Fairhall

Adrienne Fairhall is a University Professor in the Department of Physiology and Biophysics and an adjunct Professor in the Departments of Physics and Applied Mathematics, as well as the director of the Computational Neuroscience Program and co-director of the Institute for Neuroengineering at the University of Washington.

Adrienne Fairhall
NationalityAustralian
Alma materAustralian National University, Weizmann Institute of Science
Known forDynamic Neural Computation
Circuit Dynamics
Neural Coding
AwardsAllen Distinguished Investigator
Burroughs-Wellcome Fellow
McKnight Scholar
Sloan Fellow
Scientific career
FieldsTheoretical Neuroscience
InstitutionsUniversity of Washington
Doctoral advisorItamar Procaccia

Fairhall is primarily known for her work on dynamic neural computation, particularly with regards to the interplay between cellular and circuit dynamics and coding, and she has received numerous awards for her work in the field including a Sloan Fellowship, a McKnight Scholar Award, a Burroughs-Wellcome Fellowship, and an Allen Distinguished Investigator award.

Fairhall presently runs the Fairhall laboratory at the University of Washington.[1]

Early life and education

Fairhall was raised in Australia, she obtained her honors degree in theoretical physics working with Robert Dewar at the Australian National University in Canberra, Australia.[2] She then joined the lab of Itamar Procaccia at the Weizmann Institute of Science where she completed her PhD in physics.[3]

Career

Following a brief stint at the NEC Corporation, Fairhall then joined Princeton University's Department of Molecular Biology as a postdoctoral researcher. In 2004, she left that position to become an associate professor at the University of Washington, a position that eventually led to a full professorship. She further went on to become the director of the University of Washington Computational Neuroscience Program and co-director of the University of Washington Institute for Neuroengineering[4][5]

Fairhall has also been involved in a number of computational neuroscience educational programs and workshops, most notably by way directing the Methods in Computational Neuroscience course at the Marine Biological Laboratory in Woods Hole, as well as creating the Coursera course on the subject.[6]

Personal life

Fairhall is married to Blaise Agüera y Arcas, a physicist whom she met during a neural network circuitry class at Marine Biological Laboratory in Woods Hole and with whom she has two children.[7]

Select publications
  • Fairhall, A.L.; Lewen, G.D.; Bialek, W.; de Ruyter van Steveninck, R.R. (23 August 2001). "Efficiency and ambiguity in an adaptive neural code". Nature. 412 (6849): 787–792. Bibcode:2001Natur.412..787F. doi:10.1038/35090500. PMID 11518957. S2CID 4354013.
  • Lundstrom, B.N.; Higgs, M.H.; Spain, W.J.; Fairhall, A.L. (19 October 2008). "Fractional differentiation by neocortical pyramidal neurons". Nature Neuroscience. 11 (11): 1335–1342. doi:10.1038/nn.2212. PMC 2596753. PMID 18931665.
  • Fairhall, A.L.; Burlingame, C.A.; Narasimhan, R.; Harris, R.A.; Puchalla, J.L.; Berry, M.J. (5 November 2006). "Selectivity for Multiple Stimulus Features in Retinal Ganglion Cells". Journal of Neurophysiology. 96 (5): 2724–2738. doi:10.1152/jn.00995.2005. PMID 16914609. S2CID 52872206.

Awards and honors
  • Sloan Fellowship
  • McKnight Fellowship
  • Burroughs Wellcome Fellowship
  • Allen Distinguished Investigator

References
  1. "Allen Institute". alleninstitute.org. Retrieved 2 February 2020.
  2. "Adrienne Fairhall". Simons Foundation. 25 August 2015. Retrieved 7 September 2019.
  3. "People". Fairhall lab. 5 September 2012. Retrieved 7 September 2019.
  4. "ResearchGate |". researchgate.net. Retrieved 2 February 2020.
  5. "Adrienne Fairhall". eScience Institute. Retrieved 7 September 2019.
  6. "Adrienne Fairhall on Coursera". coursera.org. Retrieved 2 February 2020.
  7. Mick, Jason (17 December 2013). "Top Microsoft Graphics Genius Defects to Google". DailyTech. Archived from the original on 18 December 2013.
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