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.

Opportunities

We are active recruiting talented new graduate students and postdocs to join the group! If you are excited about doing research in big data, applied mathematics, machine learning, and neuroscience, email Bing (please include a copy of your CV).

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
  • Video Lectures for Data Science for Biologists are on YouTube. The accompanying website with extra materials is coming soon!
  • NSF has awarded our grant to study long-term, naturalistic human brain recordings!
Publications Videos

To give you a more multimedia idea of what the lab is up to, here are some videos:

Teaching
  • Biology 419/519, Data Science for Biologists (Winter 2017)
  • Biology 300 (with Bill Moody), Intro to Neuroscience (Spring 2016)
  • MOOC: Data Science for Biologists, YouTube channel (with Steve Brunton and Nathan Kutz)
  • Biology 419/519, Data Science for Biologists (Winter 2016)
  • Biology 419/519, Data Science for Biologists (Spring 2015)
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.