Bing Wen Brunton
Principal Investigator

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

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

Post Graduate

Tanvi Deora, Ph.D.

HFSP Postdoctoral Fellow

Tanvi is co-advised by Tom DanielShe studies the role of touch in plant pollinator interactions. Moths and butterflies use a long straw-like mouthpart, the proboscis to actively explore the flowers and extract tactile information from it. Moreover, proboscis is a flexible structure and its mechanics is actively tuned as the insect is sensing. Using tools of behavioral analysis and neurophysiology, Tanvi wants to understand the sensory processing and biomechanics underlying the fundamental percept of touch. 

tanvid2 at uw dot edu

Ph.D., University of Washington, Applied Mathematics

M.S., University of Vermont, Mathematics

B.A., University of Vermont, Mathematics and Physics

Washington Research Foundation Postdoctoral Fellow

Kameron is a postdoctoral research associate in Computer Science & Engineering at the University of Washington. He is analyzing human brain electrocorticography recordings in the labs of Allen School professor Rajesh Rao and Biology professor Bingni Brunton. His interests are in computational and theoretical neuroscience, in particular networks, dynamical systems, and data analysis. He earned his Ph.D. in Applied Mathematics from the University of Washington under Eric Shea-Brown. Prior to that, Kameron studied bus traffic optimization as a Fulbright Scholar in Chile, and his undergraduate and masters work at the University of Vermont included sentiment analysis of large-scale Twitter data, network science, and data assimilation methods.

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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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Ph.D., Florida State University, Mechanical Engineering

M.S., University of Michigan, Mechanical Engineering

B.E., University of Mumbai, Mechanical Engineering

 

Aditya is a postdoctoral research associate co-advised by Steven Brunton. He earned his PhD in Mechanical Engineering under Dr. Kunihiko (Sam) Taira with concentration on Computational Fluid Mechanics. The focus of his PhD research involved developing network-theoretic approaches for analyses and control of fluid flows. His current research interests include data-driven modeling, control theory and computational neuroscience.

Steven Peterson, Ph.D.

Ph.D., University of Michigan, Biomedical Engineering

M.S., University of Michigan, Biomedical Engineering

B.S., Washington University in St. Louis, Biomedical Engineering

 

Steven is a postdoctoral scholar co-advised by Bing Brunton and Raj Rao currently studying electrocorticography (ECoG) recordings during naturalistic movements. He received his Ph.D. in Biomedical Engineering at the University of Michigan, performing high-density electroencephalography (EEG) recordings during perturbed balance beam walking in the lab of Daniel Ferris. His interests are real-world neuroimaging, neural signal processing, and cortical integration of sensory information.

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Graduate Students

Aaron D. Garcia

Ph.D. student in Neuroscience

B.A., Boston University, Neuroscience

UWIN Neuroengineering Grad Fellow

NSF Grad Fellow

Aaron is co-advised with Beth BuffaloHis 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.

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Seth Hirsh

Ph.D. student in Physics

B.A., University of California, Berkeley, Physics and Applied Mathematics

Seth is co-advised with Nathan Kutz. His primary research is developing data-driven techniques for analyzing spatio-temporal data for cases where the temporal modes are periodic. He also applies these techniques to analyze experimental neural recordings.

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Pierre Karashchuk

Ph.D. student in Neuroscience

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

NSF Grad Fellow

Pierre is a graduate student co-advised with John Tuthill.

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Satpreet Singh

Ph.D. student, Electrical Engineering

M.S., Oregon State University, Computer Science

M.S., University of Iowa, Electrical & Computer Engineering

B.E., Savitribai Phule Pune University, Electronics Engineering

Sat is a grad student co-advised with Raj Rao. He is applying Machine Learning/AI to research questions in Neuroscience and Behavior. He is also broadly interested in Computational and Cognitive neuroscience.

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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.

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Ellie Strandquist

Ph.D. student, University of Washington, Computer Science

B.S., Virginia Commonwealth University, Computer Science

 

Gabrielle (Ellie) is co-advised with Rajesh Rao studying electrocorticography (ECoG) recordings of natural behaviors. She received her B.S. in Computer Science while researching deep neural networks to solve bioinformatics problems. She enjoys studying multiple disciplines to further her research, and is currently employing techniques from machine learning and natural language processing (NLP) to analyze speech and neural processes. Outside of the lab she can be found traveling, tango dancing or making pastries. 

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Zoe Steine-Hanson

Ph.D student, Computer Science

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.

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Undergraduates

John So

Nathaniel Linden

Bioengineering, expected 2020

Sara Ichinaga

Applied Computational Mathematical Sciences (ACMS), expected 2021

Nathan Davis

Computer Science and Engineering

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Alumni

Nancy X. R. Wang, Ph.D. 2018  (now at IBM Research)

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).