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 356b
Email: bbrunton at uw dot edu
Phone: 206-221-9330 (o)

CV, Google Scholar page

  • 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, supported 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 interested in how networks of neurons compute and also how computational methods help us understand meausurements from neurons. I am also broadly interested in visualizing, manipulating, and understanding complex, dynamic data, particularly from biologically relevant systems.

Previously, I was a postdoc at UW working with Nathan Kutz in the Applied Math department and Tom Daniel in the Biology department. I learned a lot about computational techniques that exploit inherent sparsity in complex data; my collaborators and I continue to develop data-driven, low-dimensional dynamic models for biological and engineered systems.

I grew up in Maryland (MBHS) and was an undergrad at Caltech, where I majored in biology. Afterwards, I went to Princeton and studied neuroscience with Carlos Brody. In Carlos's lab, I trained rodents to perform decision-making tasks and developed computational models to help us understand mechanisms underlying their behavior. I also did some experimental work in electrophysiology, neuropharmacology, and human psychophysics.

Research Interests
  • Understanding complex data by exploiting sparsity
  • Sparse sensor placement for classification
  • Computational and systems neuroscience
  • Accumulation of information for decision-making
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.