A structured 6–9 month arc that takes a student from foundations to a submitted research paper — mentored the whole way by senior research scientists.
Core concepts of the field, research methods, reading the literature, and the computational and statistical toolkit every researcher needs.
Hands-on work on an assigned problem statement — designing experiments, generating and analyzing data, and building models toward a result.
Coding toward the finding, writing the paper, and preparing a formal research submission worthy of an international audience.
Machine learning and signal processing on brain-imaging data — the lab's anchor domain and deepest bench of projects.
Turning biological questions into computational problems — modeling, measurement, and interpretable analysis of physiological data.
Signals, systems, and data-driven methods applied to the grid and modern electrical engineering challenges.
The orientation is free and walks you through everything above in detail. Bring your questions.