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Bing Wen Brunton
Principal Investigator

Ph.D. in Molecular Biology & Neuroscience, Princeton University, 2012

B.S. in Biology, California Institute of Technology (Caltech), 2006

Postdoctoral Researchers


Chris Dallmann, Ph.D.

Sackler Scholar in Biophysics

Chris is a postdoc co-advised with John Tuthill. He tries to better understand how the nervous system controls movement. He is currently studying how populations of motor neurons drive natural leg movements in walking fruit flies. He uses genetic tools and optical imaging to measure neural activity, markerless tracking to measure behavior, and dimensionality reduction techniques to understand the link between the two.


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Ali Weber, Ph.D.

Washington Research Foundation Postdoctoral Fellow
UW Data Science Postdoctoral Fellow

Ph.D., University of Washington, Neuroscience
B.A., University of Chicago, Biological Sciences

is a postdoc co-advised with Tom Daniel. She is studying how organisms make efficient use of limited information to perform complex tasks. Taking the hawkmoth as a model system, she investigates how information from a small number of mechanoreceptors on the wings are used in flight control. She employs a combination of experimental and computational techniques to study how these sensors respond during flight and how one might optimally array a set of these sensors to best provide feedback during flight.



Katie Stanchak, Ph.D.

Postdoctoral Researcher

Ph.D., University of Washington, Biology
B.S., Massachusetts Institute of Technology, Mechanical Engineering 

Katie is a postdoc co-advised with David Perkel. She is an evolutionary biologist primarily interested in how anatomical novelty influences the evolution of animal locomotion. Her doctoral project in the lab of Sharlene Santana at UW focused on a unique skeletal element in the bat hindlimb wing membrane. Currently, she is trying to understand the exceptional lumbosacral spinal cord of birds, which may act as a mechanosensory structure that helps birds balance. She is also working with a team to study the evolution of distributed sensor placement on insect wings and the implications of sensor placement on sensing ability for different wing morphologies.


Affiliated Researchers


George Plummer, M.D.

Neurology Resident

A.B., Harvard College, Neurobiology

M.D., Tufts University

George is interested in data driven models to analyze clinical EEGs to understand the brain and deliver better patient care.

Graduate Students


Aaron Garcia

Ph.D. student in Neuroscience
UWIN Neuroengineering Grad Fellow
NSF Grad Fellow

B.A., Boston University, Neuroscience

Aaron is co-advised with Beth Buffalo. His primary research interests revolve around trying to better understand the neural correlates of learning and memory in monkeys. He is currently applying dimensionality reduction techniques to high-density local field potential data recorded from the hippocampus of monkeys playing video games. The goal is to reduce the complexity of the data and try to deduce task-relevant oscillatory activity. When he's not being MATLAB's slave, he is likely either playing a fighting game, on a boat/hiking, or at one of the many awesome breweries in Seattle.



Lili Karashchuk

Ph.D. student in Neuroscience
NSF Grad Fellow

B.A., University of California, Berkeley, Statistics and Computer Science

Lili is a graduate student co-advised with John Tuthill. She aims to deconstruct the contributions of proprioception within walking at a computational level, by studying how flies react when their proprioceptive neurons are perturbed. In her work, she uses 3D tracking and muscle imaging. She has written the Anipose 3D tracking toolkit and continues to develop it. Outside the lab, Lili likes exploring all the wonderful parks around Seattle or participating in Synaptech, a student club exploring neurotechnology.



Michelle Hickner

Ph.D. student in Mechanical Engineering

M.S., University of Washington, Applied Mathematics
B.A., Oberlin College, Physics

Michelle is co-advised with Steve Brunton. Her current research is on sparse sensor placement for control and categorization in biological and engineered systems. She is interested in bio-inspired mathematical methods.



Zoe Steine-Hanson

Ph.D. student in Computer Science & Engineering

NSF Grad Fellow

H.B.S., Oregon State University, Computer Science
Zoe is co-advised with Rajesh Rao. She came to Seattle to work in the fascinating intersection between Neuroscience and Machine Learning. Her research interests broadly cover Machine Learning, Cognitive Science and Neuroscience. In her undergrad, she was involved with research on how gender biases manifest in software interfaces and how to fix these biases.



Raveena Chhibber

Ph.D. student in Neuroscience

NSF Grad Fellow

Raveena is a rotating graduate student co-advised by John Tuthill interested in motor control and Machine Learning. Before grad school, she used information-theoretic methods to understand the timescale of motor sequencing in songbirds.

Undergraduate and
High School Students

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Zeynep Toprakbasti

Zeynep is an Honors computer science student at the University of Washington, expecting to graduate by 2023. Zeynep is fascinated by the intersection between CS and brain sciences. Outside of her studies, she is an artist and an activist!



Kameron Decker Harris, Ph.D. (next position: Assistant Professor of Computer Science, Western Washington University)

Aditya G. Nair, Ph.D. (next position: Assistant Professor of Mechanical Engineering, University of Nevada Reno)

Steven Peterson, Ph.D. (next position: Facebook)

Urban Fasel, Ph.D. (next position: Lecturer of Aeronautics at Imperial College London)


Nancy X. R. Wang, Ph.D. in CSE, 2018  (next position: IBM Research)

Nate Linden (next position: Ph.D. student at UCSD Mechanical Eng.)

Seth Hirsh, Ph.D. in Physics, 2020 (next position: Lyft)

Sara Ichinaga (next position: Ph.D. student at UW Applied Math)

Satpreet Singh, Ph.D. in Electrical and Computer Engineering, 2021 (next position: Meta)

Prospective Grad Students

Students interested in joining the lab for graduate studies should submit applications for admission through one of the following University of Washington Ph.D. graduate programs:

  1. Biology

  2. Neuroscience

  3. Computer Science & Engineering

  4. Applied Mathematics

Postdoc Researcher Positions

We are actively recruiting talented new 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). 

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