Laboratory for Computational Physiology
Harvard-MIT Division of Health Sciences and Technology
Rm E25-505, 45 Carleton St., Cambridge MA 02142

msaeed(at)mit(dot)edu

Research Interests

I am an MD-PhD student in MIT’s Department of Electrical Engineering and Computer Sciences and the Health Sciences and Technology (HST) Division of Harvard Medical School. My doctoral research interest is in the area of physiologic database development and physiologic pattern recognition algorithms for real-time ICU patient monitoring. With the aid of collaborators at MIT and Philips Medical Systems, I designed and deployed a high-throughput data acquisition architecture that has enabled the development of the MIMIC-II database. I have been applying wavelet analysis and various machine learning techniques to high dimensional physiologic time series from ICU patients. I am collaborating with clinicians at Beth Israel Deaconess Medical Center on the studies of ventilator-associated acute respiratory distress syndrome.  I am also interested in the development of algorithms to estimate invasive cardiovascular measurements such as cardiac output and pulmonary artery wedge pressure using minimally invasive measurements. Concurrent with my academic studies, I have been employed as a research scientist at Philips Medical Systems in Andover, Massachusetts and contributed to the development of ST/ischemia and clinical decision support algorithms in ICU monitors and clinical information systems.