John Luoyu Zhou

I am a second-year PhD student in the Neuroscience Interdepartmental Program (NSIDP) and Electrical and Computer Engineering (ECE) department at UCLA, advised by Jonathan Kao. I received my BS in computer science from Columbia University, where I was advised by Liam Paninski in the Center for Theoretical Neuroscience.

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Current Research

My research focuses on building machines that are able to interact with humans in a prosocial and interpretable manner. At the moment, my interests include emergent cooperation among self-interested entities, language grounding for multi-agent communication, and co-adaptive human-machine interfaces.

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Neuroscience Cloud Analysis As a Service


Taiga Abe et al. (Co-author)
Neuron, 2022
code / paper /

An open-source, drag-and-drop platform that uses cloud resources to run modern neuroscience data analyses.
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Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders


Matthew R Whiteway et al. (Co-author)
PLOS Computational Biology, 2021
code / paper /

A semi-supervised framework that combines the output of supervised pose estimation algorithms with unsupervised dimensionality reduction methods to produce interpretable, low-dimensional representations of behavioral videos.


Previous Research

My previous work in other fields.

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A Requirement of Protein Geranylgeranylation for Chemokine Receptor Signaling and Th17 Cell Function in an Animal Model of Multiple Sclerosis


Gregory Swan et al. (Co-author)
Frontiers in Immunology, 2021
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We elucidate the critical role of protein geranylgeranylation in regulating T lymphocyte migration and function.

Writing

Design and source code from Jon Barron's website