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 scientist in the Laboratory for Computational Physiology at the MIT Institute for Medical Engineering & Science (IMES). Her research focuses on the use of machine learning techniques for physiological and patient monitoring. Her interests include multivariate physiological and clinical time series analysis; application of machine learning techniques to track disease progression in patients; Bayesian non-parametric learning of patient phenotypes; and more generally, structure discovery and predictive modeling using large-scale physiological and clinical databases for improved patient monitoring.

[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.

[Felipe Torres photo] Felipe Torres

Felipe grew up in the island of Puerto Rico, where he completed the Computer Science degree from UPR-RP. While completing his undergraduate studies, he worked as a System Administrator for the Computer Science Department in the University of Puerto Rico. After graduation, he was offered the position of System and Network Administrator in the University of Puerto Rico, where he created a 10Gbps intra-network under the sponsorship of Dr. José Ortiz. In 2016, he moved to MA to start working at MIT as a Software Research Engineer. Currently he administers the servers of the Laboratory of Computational Physiology, and develops new applications.

[Chen Xie photo] Chen Xie

Chen has been a research programmer at the LCP since receiving his MEng in Biomedical Engineering from Imperial College London in 2015. He works to develop and expand the tools and content of Physionet, including the WFDB software packages. His interests include signal processing of high resolution physiological waveforms, and the open distribution of healthcare data.

[Christina Chen photo] Christina Chen

Christina Chen, MD is a physician scientist who is an Instructor at Harvard Medical School, staff nephrologist at Beth Israel Deaconess Medical, and a research scientist at the MIT Laboratory for Computational Physiology. She currently attends on the nephrology consult service at BIDMC and has an outpatient renal clinic where she works with medical students, residents, and fellows. With her background in engineering and medicine, she hopes to help bridge the gap between data scientists and clinicians to answer innovative questions. Her current research interests include studying acute kidney injury as well as using echocardiography to determine effects of cardiac dysfunction on outcomes.

Visiting Colleagues

[Alon Dagan photo] Alon Dagan

Dr. Alon Dagan is an Emergency Medicine Physician with a background in Biomedical Engineering. He is interested in developing pragmatic and innovative tools for addressing the complex problems facing healthcare in the developing world. Alon spent his undergraduate years studying Biomedical Engineering at the University of Connecticut through the Combined Program in Medicine, and earned his medical degree at the University of Connecticut School of Medicine. After graduation, he completed his emergency medicine training at the Harvard Affiliated Emergency Medicine Residency at Beth Israel Deaconess Medical Center. He is currently working clinically as an attending emergency medicine physician at BIDMC, BID-Needham, St. Luke's, and Cambridge Hospitals, and serves an Instructor of Emergency Medicine at Harvard Medical School. In addition to working clinically, Alon is a MIT Research Affiliate in the Laboratory for Computational Physiology. He joined the Sana team in 2016 and has been assisting in the design and implementation of international Hackathons, as well as providing a clinical perspective to technical projects addressing healthcare issues. His research interests include mobile health, global health informatics, medical education, critical care medicine, and emergency care in disaster and austere environments.

[Rodrigo Deliberato photo] Rodrigo Deliberato

Rodrigo Deliberato is an Internal Medicine and Critical Care Physician from Sao Paulo, Brazil. After his residency, he spent one year completing a clinical fellowship in Critical Care Medicine at the University of Toronto. Following that he got his MSc and his PhD at Universidade Federal do Estado de São Paulo (UNIFESP) in Brazil studying infectious disease — biomarkers — medical devices and their interactions with critical care patients. His research moves him towards the digital healthcare field including the creation of a mobile application to manage the multidisciplinary working shift exchange at the Albert Einstein Hospital. This application continues to be used comercially at hospitals across Brazil. Nowadays he is a post-doctoral fellow at the Laboratory of Computational Physiology - MIT studying secondary analysis of electronic health record data in critical care patients.

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