Developers & engineers
Fix bugs, implement features, improve performance and accessibility, and build new integrations across the lab's engineering stack.
- →Web frontend (React, Astro)
- →Backend (Python, FastAPI, SAM/CDK)
- →ML pipelines (PyTorch, vision, signal processing)
- →Edge inference (Jetson, Raspberry Pi)
Researchers & clinicians
Co-author studies, validate tools against clinical datasets, shape research direction, contribute domain expertise.
- →Motor phenotyping (Volitiq, WAVE)
- →Cardiorespiratory monitoring (PULSE)
- →Contextual learning (Grovalin)
- →IRB protocols & clinical assessment integration
Data contributors
Help gather anonymised, ethically-approved research data, particularly from older-adult, disability, and underrepresented cohorts.
- →Multi-home WiFi CSI datasets (WAVE)
- →Multi-cohort rPPG video (PULSE)
- →Cross-environment, cross-skin-tone benchmarks
- →Data annotation tasks
Clinicians, families & self-advocates
Test tools, surface real-world needs, and provide feedback that grounds development in practice.
- →Test new features and updates
- →Report usability and accessibility issues
- →Suggest improvements from lived experience
- →Participate in research studies