Sara Solla
Sara A. Solla is an Argentine-American physicist and neuroscientist whose research applies ideas from statistical mechanics to problems involving neural networks, machine learning, and neuroscience. She is a professor of physics and of physiology at Northwestern University.[1]
Education and career[]
Solla is originally from Buenos Aires, and earned a licenciatura in physics in 1974 from the University of Buenos Aires. She completed a Ph.D. in physics in 1982 at the University of Washington.[2]
She became a postdoctoral researcher at Cornell University and at the Thomas J. Watson Research Center of IBM Research.[2] Influenced to work in neural networks by a talk from John Hopfield at Cornell, she became a researcher in the neural networks group at Bell Labs.[3] She took her present position at Northwestern University in 1997.[2]
Recognition[]
Solla was elected as a Fellow of the American Physical Society (APS) in 2014, after a nomination from the APS Division of Biological Physics, "for applications of statistical physics to problems concerning learning, adaptation, and information coding in neural systems".[4]
References[]
- ^ "Sara Solla", People, Northwestern University Department of Physics and Astronomy, retrieved 2021-11-16
- ^ a b c "Sara A. Solla", IEEE Xplore, IEEE, retrieved 2021-11-16
- ^ About the Speaker: Sara Solla, Indiana University Bloomington Department of Physics, 14 October 2020, retrieved 2021-11-16
- ^ "Fellows nominated in 2014 by the Division of Biological Physics", APS Fellows archive, retrieved 2021-11-16
External links[]
- Sara Solla publications indexed by Google Scholar
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- Scientists at Bell Labs
- Northwestern University faculty
- Fellows of the American Physical Society
- 21st-century American women