Photo of Allie Fletcher

Alyson "Allie" Fletcher

Assistant Professor

University of California, Los Angeles

Departments of Statistics, Mathematics, and Electrical Engineering

Affiliated Research Scientist

Redwood Center for Theoretical Neuroscience

Helen Wills Neuroscience Institute,

University of California, Berkeley


  • Konrad Kording and I are organizing a short course on "Machine Learning and Data Science for Neuroscientists" at Society for Neuroscience (SfN) 2016 in November.

  • Our paper on "Iterative Reconstruction of Rank-One Matrices in Noise" was submitted to the IMA.

  • Robert, Mojtaba and my paper on "Neural Mass spatio-temporal modeling from high-density electrode array recordings" with Michael Trumpis, Michele Insanally, Jonathan Viventi, and Robert Froemke, was accepted to COSYNE 2016.

  • My group and I have moved to UCLA! I will be joining the Department of Statistics!And the Departments of Mathematics and Electrical Engineering.

  • Please apply to UCLA if you want to work with me as a PhD student. I am taking both new students and looking for postdocs.

  • Our NIPS 2015 Workshop on Statistical Methods for Understanding Neural Systems
  • was well attended! Photos coming soon and a recording of the panel coming soon...
  • Invited to speak at the Silicon Valley IEEE SP Society on November 5th!

  • Awarded ONR research grant for State Estimation of Generalized Linear Dynamical Networks. Thank you.

  • Robert Sumner and Mojtaba Sahraee join our group

  • Please see our former NIPS 2013 Workshop on High Dimensional Statistical Inference in the Brain

  • Bio

    Allie Fletcher joined UC Santa Cruz as an Assistant Professor in Fall 2012. She was awarded the NSF CAREER award in January, 2013. She was previously a UC President's Postdoctoral Fellow, a Henry Luce Foundation Claire Boothe Luce Fellow and won the UC Berkeley EECS Eugene Lawler award. She received the Ph.D. and M.S. degrees in electrical engineering, and the M.S. degree in mathematics, all from the University of California, Berkeley. She obtained the B.S. degree in mathematics and physics from the University of Iowa. Her research interests include Bayesian estimation, statistical signal processing, machine learning, and information theory with a particular interest in inference problems in neuroscience and computational models of the brain.


    Baskin School of Engineering

    1156 High St, Mail Stop SOE2

    Santa Cruz, CA 95064

    Office: Engineering 2, Room 245A


    Tel: 831-459-3877