Roger Mark

Core Faculty
Phone: (617) 253-7818
Lab Phone: (617) 253-7818
room: E25-505
MIT address: 77 Massachusetts Ave., Cambridge, MA 02139
Administrative Assistant: Ken Pierce
assistant phone: (617) 258-7656
assistant email: kpierce@mit.edu

Roger Mark

Core Faculty

title(s)

  • Distinguished Professor of Health Sciences and Technology and of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
  • Assistant Professor of Medicine, Harvard Medical School

bio

Dr. Mark is Distinguished Professor of Health Sciences and Technology of Electrical Engineering and Computer Science at MIT. 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 quantitative physiology to undergraduate and graduate engineering students at MIT, and Introduction to Clinical Medicine to HST MEMP students. 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.

degrees

  • PhD in Electrical Engineering, Massachusetts Institute of Technology, 1966
  • MD, Harvard Medical School, 1965
  • SB in Electrical Engineering, Massachusetts Institute of Technology, 1960

selected awards/societies

  • Association for the Advancement of Medical Instrumentation 2016 Laufman-Greatbatch Award
  • Fellow, Institute of Electrical and Electronics Engineers (IEEE)
  • Fellow, American College of Cardiology
  • Fellow, American Institute of Medical and Biological Engineering

research

Dr. Mark’s research activities focus on physiological signal processing and database development, cardiovascular modeling, and critical care decision support and predictive modeling. His group launched the NIH-supported “PhysioNet” (Research Resource for Complex Physiologic Signals) in 1999 to provide open access to major collections of well-characterized physiologic signals and associated signal processing software. His group and others have continued to add data collections to PhysioNet, and it has been the basis of thousands of research publications worldwide. His NIH-funded project, entitled “Critical Care Informatics,” is focused on transforming massive archives of critical care clinical data into new knowledge that will improve the efficiency, accuracy, and timeliness of clinical decision making in intensive care. That project has developed a large new publicly accessible ICU database (MIMIC-III) containing high resolution clinical data from ~60,000 ICU admissions. It has been added to the archives of PhysioNet and currently has more than 1800 credentialed users worldwide. Dr. Mark’s own research has depended critically on access to physiologic and clinical data, and he is firmly committed to the importance of making such data freely available to the research community.

selected publications

  • J. Danziger, K. Chen, J. Lee, M. Feng, R. G. Mark, L. Celi, and
    K. J. Mukamal. “Obesity, acute kidney injury, and mortality in critical illness.” Crit Care Med (2015): Accepted for publication.
  • E. Morgado, F. Alonso‐Atienza, R. Santiago‐Mozos, Ó. Barquero‐Pérez, I. Silva, J. Ramos, and R. Mark. “Quality estimation of the electrocardiogram using cross‐correlation among leads.” BioMed Eng OnLine 14.59 (2015): (doi:10.1186/s12938‐015‐0053‐1) (PMID:26091857).
  • E. J. de Louw, P. O. Sun, J. Lee, M. Feng, R. G. Mark, L. A. Celi, K. J. Mukamal, and J. Danziger. “Increased incidence of diuretic use in critically ill obese patients.” J Crit Care 30.3 (2015): 619-23.
  • J. Lee, E. de Louw, M. Niemi, R. Nelson, R. Mark, L. Celi, K. Mukamal, and J. Danziger. “Association between fluid balance and survival in critically ill patients.” J Intern Med 277.4 (2015): 468-77.
  • O. Badawi, T. Brennan, L. A. Celi, M. Feng, M. Ghassemi, A. Ippolito, A. Johnson, R. G. Mark, L. Mayaud, G. Moody, C. Moses, T. Naumann, M. Pimentel, T. J. Pollard, M. Santos, D. J. Stone, and A. Zimolzak. “Making big data useful for health care: A summary of the inaugural MIT critical data conference.” JMIR Med Inform 2.2 (2014): e22.
  • L. H. Lehman, R. P. Adams, L. Mayaud, G. B. Moody, A. Malhotra, R. G. Mark, and S. Nemati. “A physiological time series dynamics-based approach to patient monitoring and outcome prediction.” IEEE J Biomed Health Inform PP(99):1, (2014): (PDF) (doi:10.1109/JBHI.2014.2330827).
  • L. A. Celi, R. G. Mark, D. J. Stone, and R. A. Montgomery. “‘Big Data’ in the Intensive Care Unit.” Am J Respir Crit Care Med 187.11 (2013): 1157–60.
  • L. H. Lehman, M. Saeed, D. Talmor, R. Mark, and A. Malhotra. “Methods of blood pressure measurement in the ICU.” Crit Care Med 41.1 (2013): 34–40.

A full list of Dr. Mark’s publications can be found on the Laboratory for Computational Physiology website.