Collaborate
Work with us
PIMAP benefits from clinical, research, engineering, and institutional perspectives. Here are the ways people can contribute.
Ways to contribute
Clinical workflow review
Help us understand how risk information should fit into real clinical workflows.
Research methods & evaluation
Shape a reproducible, honest evaluation protocol for the prediction work.
Data engineering
Contribute to feature preparation and the proposed research platform direction.
Modeling
Bring experience with predictive modeling, validation, and explainability.
Integration exploration
Advise on interoperability questions, including standards such as FHIR.
Monitoring & sensing
Explore additional sensing inputs and how they might inform monitoring.
Research partnerships
Discuss institutional collaboration, data access, and prospective research.
Get in touch
To start a conversation about collaborating, email us. Tell us a little about your interest and background.