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<h3 style="margin-bottom: 1rem;">Our Mission</h3>
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The MIT Laboratory for Computational Physiology (LCP) conducts research at the intersection of <span class="key-term">medicine</span>, <span class="key-term">engineering</span>, and <span class="key-term">data science</span>. Our mission is to improve health care through new and refined approaches to interpreting data, developing predictive models, and advancing <span class="key-term">open science</span>.
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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.
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<h3 style="margin-bottom: 1rem;">Research Areas</h3>
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<span class="key-term">Critical care informatics</span>
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<span class="key-term">Physiological signal processing</span>
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<span class="key-term">Machine learning for healthcare</span>
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<span class="key-term">Clinical decision support systems</span>
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<span class="key-term">Open data and reproducible research</span>
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<h3 style="margin-bottom: 1rem;">Major Projects</h3>
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<h4 style="margin-bottom: 0.75rem;">MIMIC</h4>
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The <a href="https://mimic.physionet.org" target="_blank">MIMIC database</a> 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.
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<h4 style="margin-bottom: 0.75rem;">PhysioNet</h4>
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<a href="https://physionet.org" target="_blank">PhysioNet</a> is a widely-used repository of biomedical data and software that enables researchers to share and reuse resources, promoting <span class="key-term">reproducible research</span> and lowering barriers to data access.
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<h3 style="margin-bottom: 1rem;">Joining the Lab</h3>
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The Laboratory for Computational Physiology offers research opportunities to MIT students, including <span class="key-term">UROPs</span> for undergraduate students and thesis projects for graduate students.
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We welcome collaborations with researchers worldwide who have relevant expertise in medicine, computer science, engineering, or related fields.
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<a href="{{ '/people' | relative_url }}" class="btn" style="margin-top: 1rem;">Meet Our Team</a>
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<h3 style="margin-bottom: 1rem;">Contact Information</h3>
<p><strong>Laboratory for Computational Physiology</strong><br>
Massachusetts Institute of Technology, E25-505<br>
77 Massachusetts Avenue<br>
Cambridge, MA 02139, USA</p>
<p><strong>Director:</strong> Prof. Roger Mark<br>
MIT extension 3-7818</p>
<p><strong>For collaborations:</strong> Please contact us through our individual lab members or via the MIT directory.</p>
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