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Young-Eun Lee
Young-Eun Lee

Postdoctoral Researcher, Stanford University. Brain-Computer Interfaces & Neural Decoding.

Dept. of Psychiatry & Behavioral Sciences

Stanford University School of Medicine

youngeun [at] stanford [dot] edu

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About Projects Publications Patents Software & Datasets CV

Projects

Selected research and AI systems projects. Click a card for details.

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Speech from Brain Signals

Synthesizing and decoding speech directly from neural activity.

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Wearable & Real-Time Physiological Signal Processing

Robust, real-time ML for noisy wearable and ambulatory biosignals.

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Vision-Based Force Estimation for Robotic Surgery

Estimating contact forces in robotic surgery without a force sensor (Max-Planck Institute).

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Computational Neuroimaging for Individualized Brain Function

Predicting individualized brain function from resting-state fMRI.

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OpenBMI — Open-Source BCI Benchmarking

A standardized, reproducible benchmarking platform for brain-computer interfaces.

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Multi-Agent Research Frameworks (OMCR / OMCX)

Open-source multi-agent systems that orchestrate LLM agents across the research lifecycle.

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