BCI & assistive robotics
Research at Rice and earlier EEG work
I built EEG pipelines for motor-imagery control and worked on robotic arms for assistive feeding.
EEG control
The EEG work used signal processing and machine learning to translate motor-imagery signals into prosthetic control.
Assistive feeding at Rice
From August 2025 to July 2026, I was an undergraduate researcher with the Rice Neuroengineering Initiative. I worked with the Kinova Gen3 arm on vision and gripper integration, grasp trajectories, and sensor calibration. I also used IsaacSim and OmniGibson for simulation.
Results
My Rice BCI Lab research achieved 95%+ detection accuracy, a 40% reduction in latency, and a 15% reduction in weight.