I'm a research scientist and engineer working in AI, neuroAI, and brain-computer interfaces.
I manage research operations at Basis Research Institute, a nonprofit AI research organization. I work on scaling the organization, meta-science for AI research, and basic research on world model learning.
My scientific background spans both the engineering and scientific sides of neurotechnology. As a postdoc in Mark Churchland's lab at Columbia's Zuckerman Institute, I developed cortical brain-computer interface control algorithms in primates. Before that, I earned my PhD in Cindy Chestek's neuroprosthetics lab at the University of Michigan, where I worked on BCIs and neural probe fabrication.
In my free time, I like to eat my way around New York City.
For a full list of papers and patents, see my Google Scholar. Selected work below, organized by research area.
Meta-science
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NeuroAI for AI Safety
arXiv preprint, 2024
AI & World Models
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Benchmarking World-Model Learning
arXiv preprint, 2025
Brain-Computer Interfaces & Computational Neuroscience
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Cortical control of virtual self-motion using task-specific subspaces
Journal of Neuroscience, 42(2):220–239, 2022
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Systems, methods, and media for decoding observed spike counts for spiking cells
US Patent 11,429,847, 2022
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Chronic recording of hand prosthesis control signals via a regenerative peripheral nerve interface in a rhesus macaque
Journal of Neural Engineering, 13(4):046007, 2016