Matthew D. Golub, PhD

I am currently on partial parental leave. Please excuse my slower-than-usual correspondence and reduced capacity to take on additional commitments.

Assistant Professor, Paul G. Allen School of Computer Science and Engineering
Theory Faculty, UW Computational Neuroscience Center
Training Faculty, UW Graduate Program in Neuroscience
Visiting Scientist, Allen Institute for Neural Dynamics

Matt joined the University of Washington in 2022, where he is an Assistant Professor in the Paul G. Allen School of Computer Science & Engineering. Matt directs the UW Systems Neuroscience & AI Lab (SNAIL, aka Golub Lab), which focuses on research at the intersection of neuroscience, neuroengineering, machine learning, and data science. Projects in the lab design computational models, algorithms, and experiments to investigate how single-trial neural population activity drives our abilities to generate movements, make decisions, and learn from experience. Outside of research, Matt teaches undergraduate and graduate courses on machine learning and its application to neuroscience and neuroengineering.

Previously, Matt was a Postdoctoral Fellow at Stanford University, where he was advised by Krishna Shenoy, Bill Newsome, and David Sussillo. His postdoctoral work advanced deep learning and dynamical systems techniques for understanding how neural population activity supports decision-making, learning, and flexible computation. This work was recognized by a K99/R00 Pathway to Independence Award from the National Institutes of Health. Matt completed his PhD at Carnegie Mellon University, where he was advised by Byron Yu and Steve Chase. There, Matt established brain-computer interfaces as a scientific paradigm for investigating the neural bases of learning and feedback motor control. His PhD dissertation received the Best Thesis Award from the Department of Electrical & Computer Engineering.

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