About
Built for preventive, practical health technology.
ALARIS is focused on identifying early, meaningful changes in wellness using everyday biosignals. The goal is not just detection, but creating a system that is understandable, usable, and grounded in real biological and engineering constraints.
Preventive
Designed to surface meaningful changes earlier, before problems become more difficult to act on.
Accessible
Built around practical hardware and clear software experiences instead of unnecessary complexity.
Integrated
Combines bioscience, hardware, and AI into one system instead of treating them as separate tracks.
Leadership
The people shaping ALARIS.
Click any card for the full bio, background, and links.
Team
Cross-functional team directory.
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Project
What each subteam is actively building.
Bioscience
Baselines, evidence, and labeling quality
The bioscience team is grounding the system in biological interpretation, baseline review, and stronger labeling workflows that improve downstream model quality.
- Annotation rubric refinement
- Evidence review and biosignal interpretation
- Safer biological framing for model outputs
Hardware
Wearable sensing and physical integration
The hardware team is turning the concept into something real by refining prototypes, integrating sensors, and improving how the device behaves outside of theory.
- Prototype iteration and integration
- Sensor wiring and enclosure refinement
- Reliability and usability improvements
AI Engineering
Data pipeline, evaluation, and software systems
The AI team is building the infrastructure that converts raw biosignals into usable insight, from preprocessing and storage to experiments and system-level evaluation.
- Feature extraction and model experiments
- Database and software workflow development
- Interpretability and output quality checks
Contact
Get in touch.
For general questions, collaboration, or project interest, reach out directly to the team.