Learn About The Laboratory
Our Mission
The MIT Laboratory for Computational Physiology (LCP) conducts research at the intersection of medicine, engineering, and data science. Our mission is to improve health care through new and refined approaches to interpreting data, developing predictive models, and advancing open science.
Using modern approaches to modeling, signal processing, pattern recognition, and machine learning, we develop and refine methods for analyzing data from patients in intensive care units and generate predictive models that will aid in patient care.
Research Areas
- • Critical care informatics
- • Physiological signal processing
- • Machine learning for healthcare
- • Clinical decision support systems
- • Open data and reproducible research
Major Projects
MIMIC
The MIMIC database is a publicly available dataset comprising deidentified health data associated with thousands of intensive care unit admissions. It's widely used by investigators and engineers around the world.
PhysioNet
PhysioNet is a widely-used repository of biomedical data and software that enables researchers to share and reuse resources, promoting reproducible research and lowering barriers to data access.
Joining the Lab
The Laboratory for Computational Physiology offers research opportunities to MIT students, including UROPs for undergraduate students and thesis projects for graduate students.
We welcome collaborations with researchers worldwide who have relevant expertise in medicine, computer science, engineering, or related fields.
Meet Our TeamContact Information
Laboratory for Computational Physiology
Massachusetts Institute of Technology, E25-505
77 Massachusetts Avenue
Cambridge, MA 02139, USA
Director: Prof. Roger Mark
MIT extension 3-7818
For collaborations: Please contact us through our individual lab members or via the MIT directory.