Bingni Wen Brunton

Washington Research Foundation Innovation Assistant Professor
University of Washington (UW)
Dept. of Biology
UW Institute of Neuroengineering
Data Science Fellow, UW eScience Institute
Graduate Program in Neuroscience

Office: Kincaid Hall 320F
Email: bbrunton at uw dot edu
Phone: 206-221-9330 (o)

CV, Google Scholar Profile, GitHub Profile

Education
  • Ph.D. in Molecular Biology and Neuroscience, Princeton University, 2012.
  • B.S. in Biology, California Institute of Technology (Caltech), 2006.
About Me

I am an Assistant Professor in the Biology department at UW. I am supported in part by the Washington Research Foundation (WRF) through the new UW Institute of Neuroengineering (UWIN). I am also a Data Science Fellow of the UW eScience Institute and a faculty member of the Graduate Program in Neuroscience.

I consider myself primarily a computational neuroscientist working at the intersection of big data, dynamical systems, and neuroscience. I am also broadly interested in methods of visualizing, manipulating, and understanding complex, dynamic data, particularly from biologically relevant systems.

Research Interests
  • Data-driven dynamic models of large-scale neural data
  • Efficient algorithms for closed-loop neuroengineering
  • Sparse sensors for biological and engineered systems
  • Neural mechanisms of decision-making
Recent Lab News
  • Nancy Wang's paper on unsupervised decoding of naturalistic human ECoG has appeared in Frontiers in Human Neuroscience.
  • Undergraduate students Ryan Shean and Sam Kinn received UWIN Fellowships to support their research -- Congratulations!
  • Graduate student Nancy Wang presented her work as a poster at Cosyne 2016!
  • Bing awarded a Sloan Research Fellowship in Neuroscience.
Publications Teaching Personal

My husband Steve Brunton and I met when we were undergrads and have migrated together ever since. We live in Seattle with our two kids and our dog Mordecai.