Michael Wu

  • Program Years: 2002-2006
  • Academic Institution: University of California, Berkeley
  • Field of Study: Computational Neuroscience
  • Academic Advisor: Jack Gallant
  • Practicum(s):
    Los Alamos National Laboratory (2003)
  • Degree(s):
    Ph.D. Biophysics (emphasis in Machine Learning/Statistics and Computational Visual Neuroscience), University of Calfornia, Berkeley, 2008
    B.A. Molecular and Cell Biology, B.A. Applied Mathematics, and B.A. and Physics, UC, Berkeley, 1999

Current Status


1. James R Golden, Kedarnath P Vilankar, Michael CK Wu, David J Field (2016) Conjectures regarding the nonlinear geometry of visual neurons. Vision Research (In Press).

2. Michael C Wu, (2008) Computational methods for functional characterization of visual neurons. UC Berkeley Ph.D. Dissertation.

3. Ben Willmore, Ryan J Prenger, Michael C Wu, & Jack L Gallant, (2008). The Berkeley Wavelet Transform: A biologically-inspired orthogonal wavelet transform. Neural Computation 20(6):1537-1564.

4. Michael C Wu, Stephen V David, & Jack L Gallant, (2006). Complete functional characterization of sensory neurons by system identification. Annual Review of Neuroscience 29:477-505.

5. Ryan J Prenger, Michael C Wu, Stephen V David, & Jack L Gallant, (2004). Nonlinear V1 responses to natural scenes revealed by neural network analysis. Neural Networks 17(5/6):663-679.


CRM Magazine Market Award: 2010 Influential Leaders

Department of Energy - Computational Science Graduate Fellowship (DOE-CSGF)

National Science Foundation Graduate Research Fellowship Honorable Mention (NSF-GRF Honorable Mention)

Honors in Molecular and Cell Biology

Outstanding Undergraduate Research Award

Honor of Exemplary Service and Performance as a Molecular and Cell Biology Study Group Leader