Faculty
bbrunton
cs.washington.edu
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Adjunct, Biology
Data-driven models for neuroscience and efficient algorithms for neuroengineering
CSE 528
mgolub
cs.washington.edu
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Artificial Intelligence, Computational Neuroscience, Data Science, Data Management & Visualization, Machine Learning
Machine learning and data science for neuroengineering and basic systems neuroscience; deep learning techniques for understanding neural computations in the brain; brain-computer interfaces
jeffherr
uw.edu
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Adjunct, Neurological Surgery
Brain-computer interfaces, neural engineering, computational neuroscience, cyberphysical systems, software interfaces for human-use neuromodulation research tools
rao
cs.washington.edu
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Computational neuroscience, artificial intelligence, brain-computer interfaces
stocco
u.washington.edu
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Adjunct, Psychology
Human use of abstract mental representations (like, rules, instructions, and plans) to perform complex tasks
Graduate Students (CSE)
Preston Jiang
CSE 374
prestonj
cs.washington.edu
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Computational neuroscience
Lillian Li
CSE 306
yli2244
cs.washington.edu
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Zoe Steine-Hanson
zsteineh
cs.washington.edu
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Neural Engineering, Neural Decoding
Undergraduate Researchers
Matthew Bryan
CSE 286
mmattb
cs.washington.edu
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Brain-Computer Interfaces, Neural Engineering
Application of machine learning techniques to the brain-computer interface (BCI) domain. This includes hierarchical task modelling (HBCIs), and the use of POMDPs for optimal data collection.