Brain-Machine Interfaces Lab
Our lab focuses focuses on robust machine learning for neural signal processing, brain-computer interfaces, and clinical neurotechnology — addressing challenges in heterogeneous temporal data, invariant representation learning, and real-time closed-loop systems, with applications in epilepsy diagnostics, stroke rehabilitation, and assistive devices.
For projects, team members, publications, and resources, visit the full lab site: