LCP personnel and collaborators

Research in the Laboratory for Computational Physiology takes place both in the lab itself and through collaborations with other researchers elsewhere on campus. LCP researchers and principal collaborators are listed below.

[Roger Mark photo] Roger Mark

Dr. Mark is Distinguished Professor of Health Sciences and Technology, and Professor of Electrical Engineering at MIT. He received the SB and PhD degrees in EE from MIT, and the MD degree from Harvard Medical School. He trained in internal medicine at the Harvard Medical Unit at Boston City Hospital, and then spent two years in the Medical Corps of the USAF studying the biological effects of laser radiation. He joined the faculty of the EE Department at MIT in 1969, and also the faculty of the Department of Medicine at Harvard Medical School. He has been active in teaching cardiovascular pathophysiology to HST students, and quantitative physiology to undergraduate biomedical engineering students at MIT. Dr. Mark is a fellow of the IEEE, a fellow of the American College of Cardiology, and a founding fellow of the American Institute of Medical and Biological Engineering. He remains active in the practice of primary care internal medicine and geriatrics for about 20% of his time, and is Senior Physician at the Beth Israel Deaconess Medical Center.

Dr. Mark’s research activities include physiological signal processing and database development, cardiovascular modeling, and intelligent patient monitoring. Finally, Dr. Mark is investigating techniques to utilize the enormous volumes of clinical and physiologic data generated by patients in intensive care units in order to track and possibly predict their pathophysiological state. The techniques being explored include multi-parameter real-time signal processing, system identification and modeling, and expert systems. The goal is to solve the problem of information overload in the ICU, improve clinician-machine interface, decrease false alarm rates, and support clinical decision-making.

[Leo Celi photo] Leo Celi

Leo moved to the US from the Philippines after medical school to pursue specialty training in internal medicine (Cleveland Clinic), infectious diseases (Harvard) and critical care medicine (Stanford). He has practiced medicine in three continents (Philippines, US and New Zealand) and has worked in both industry (Philips Visicu) and academe (faculty positions at Harvard, MIT, Stanford and University of Otago), rendering him with broad perspectives in healthcare delivery. He has a strong interest in systems re-design for quality improvement, and became the New Zealand representative to the Quality and Safety Committee of the Australia New Zealand Intensive Care Society in 2006. Feeling he needed more skills to tackle the healthcare inefficiencies he faced wherever he practiced, he went back to the US to pursue graduate studies in biomedical informatics at MIT and public health at Harvard. While attending both schools and working part-time as an emergency department physician, he co-founded Sana, personally recruiting most of the current members, and was instrumental in shaping the mission and vision of the young organization.

His other research interest is in data mining and the application of machine learning on large databases. As a research scientist at the Laboratory of Computational Physiology at MIT, he works with MIMIC, a publicly-available de-identified ICU database from BIDMC. He is working on a data-driven decision support system known as Collective Experience that (1) allows a clinician to draw on the experience of other clinicians who have taken care of similar patients as recorded in a clinical database, and (2) uses models performed on relatively homogeneous patient subsets.

[Alistair Johnson photo] Alistair Johnson

Alistair joined the Laboratory for Computational Physiology as a postdoctoral associate in 2015. He received his B.Eng in Biomedical and Electrical Engineering at McMaster University, Canada, and subsequently read for a D.Phil in Healthcare Innovation at the University of Oxford. His thesis was titled “Mortality and acuity assessment in critical care”, and its focus included using machine learning techniques to predict mortality and develop new severity of illness scores for patients admitted to intensive care units. Before joining the LCP, Alistair spent a year as a research assistant at the John Radcliffe hospital in Oxford, where he worked on building early alerting models for patients post-ICU discharge. Alistair’s research interests revolve around the use of data collected during routine clinical practice to improve patient care.

[Li-wei Lehman photo] Li-wei Lehman

Dr. Li-wei Lehman is a Research Engineer in the Laboratory for Computational Physiology (LCP) at the Harvard-MIT Division of Health Sciences and Technology. Her work focuses on the NIH-funded project Research Resource for Complex Physiologic Signals (PhysioNet), which is aimed to stimulate current research and new investigations in the study of complex biomedical and physiologic signals. Her research interests include searching, mining, and detection of physiologically significant events in biomedical databases. She is particularly interested in probabilistic modeling and inferencing algorithms on physiological and clinical data to identify patients with similar pathophysiologies, and to discover “hidden” information that may be predictive of disease progressions. Prior to joining the PhysioNet team, she worked on (and continues to be involved in) several projects in the research program, “Integrating Data, Models, and Reasoning in Critical Care” at LCP, including an annotation system, a pattern-matching de-identification system, and a temporal search engine for multi-parameter biomedical databases. She received her Master’s degree in Computer Science from Georgia Institute of Technology, and her Ph.D. in Information Systems and Technology from MIT in June 2005.

[Sharukh Lokhandwala photo] Sharukh Lokhandwala

Sharukh is originally from Los Angeles, California. He attended the University of California, Los Angeles where he studied Biology and Political Science. He then attended medical school at the University of California, Davis. There, his research focused on antimicrobial de-escalation in patients with severe sepsis. He then left California for residency at Beth Israel Deaconess Medical Center. There he studied risk factors for deterioration in patients with sepsis-related occult hypoperfusion. After graduating residency, he took positions as a Hospitalist at Beth Israel Deaconess Medical Center and as a Research Scientists at the Laboratory of Computation Physiology at MIT. Sharukh is currently working with others in the development of data-driven decision support tools in the intensive care unit.

[Tom Pollard photo] Tom Pollard

Tom is a Postdoctoral Associate at the MIT Laboratory for Computational Physiology. Most recently he has been working with colleagues to release MIMIC-III, an openly-accessible critical care database. Prior to joining MIT in 2015, Tom completed his PhD at University College London, UK, where he explored models of health in critical care patients in an interdisciplinary project between the Mullard Space Science Laboratory and University College Hospital. Tom has a broad interest in how we can improve the way that critical care data is managed, shared, and analysed for the benefit of patients. He is a Fellow of the Software Sustainability Institute.

[Francisco Salgueiro photo] Francisco Salgueiro

Francisco is originally from Porto, Portugal. He did his medical education at the University of Porto, where he researched the mechanisms in which chronic pressure overload leads to heart failure. During his last year in medical school he went to the Democratic Republic of Congo for medical volunteer work and helped setup walk-in clinics along the margins of the Mfimi and Molibampe rivers. After that experience, he moved to the US in 2011 for graduate medical education and did his Internal Medicine residency at St. Luke’s Roosevelt in New York. He joined the Infectious Disease fellowship program at the Beth Israel Deaconess in 2014. For his fellowship research year, he is using the MIMIC database at the MIT-LCP to study outcomes in sepsis and how do they relates to different interventions and infectious processes.

Graduate Students

[Mohammad Ghassemi photo] Mohammad Ghassemi

Mohammad Ghassemi is a PhD student in Electrical and Computer Engineering at the Massachusetts Institute of Technology with a research interest in statistical signal processing and medical informatics. In 2010, Mohammad received the Gates-Cambridge Scholarship to fund his MPhil at the University of Cambridge in Information Engineering. He was also awarded the Goldwater scholarship while pursuing two undergraduate degrees in Electrical Engineering and Applied Mathematics. He holds two patents, and has several years of experience working in both research and industrial settings in North America, the Middle East and Europe. Mohammad’s prior research experience spans machine learning, signal processing and neuroscience.

Collaborating researchers

Thomas Heldt
Peter Szolovits
George Verghese
Ary Goldberger