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.

In addition to his research projects, Leo works as an intensivist at the Beth Israel Deaconess Medical Center and teaches medical students at Harvard and doctoral students at MIT.

To relieve stress, he regularly runs along the Charles River and trains at a fight club in Central Square.

Research Interests

My research focuses on exploring different methods of automatically extracting phrases from unstructured ICU nursing notes and coding them into a standardized terminology. We are currently working to extract lists of diagnoses, medications, and symptoms from the notes using natural language processing and other methods. Useful applications of such a system would hopefully include helping to provide a good summary of a nursing note for researchers who otherwise would need to spend a lot of time reading through large amounts of data.

Chief Medical Officer, Holtz Children's Hospital
Chief Medical Information Officer, Jackson Memorial Hospital
Associate Chair, Department of Pediatrics
University of Miami Miller School of Medicine
1601 NW 12th Avenue, 9th FL
Miami FL 33136

Research Affiliate
Harvard-MIT Division of Health Sciences Technology
Rm E25-505,   45 Carleton St.,  Cambridge  MA  02142 

Frassica(at)mit(dot)edu

http://services.bidmc.org/Find_a_doc/doc_detail.asp?sid=41414941454244

Massachusetts Institute of Technology
Research Lab of Electronics

Room 10-140L
77 Massachusetts Avenue

Cambridge, MA 02139

thomas(at)mit(dot)edu

Thomas began his studies of physics and medicine at Johannes Gutenberg-Universität, Mainz, Germany. He received the MS and MPhil degrees in Physics from Yale University and the PhD degree in Medical Physics from the Harvard University-MIT Division of Health Sciences and Technology at MIT. He is currently a postdoctoral associate with MIT's Research Laboratory of Electronics and a Research Fellow in Fetal/Neonatal Neurology at Boston's Children's Hospital/Harvard Medical School. His research interests include mathematical modeling of physiological systems, model reduction, and model identification, particularly when applied to the cardiovascular and cerebrovascular systems. Currently, Dr. Heldt applies these methodologies to improve patient monitoring in intensive care, peri-operative care, and home health care environments.

Massachusetts Institute of Technology
Research Laboratory of Electronics

Room 10-024
77 Massachusetts Avenue

Cambridge, MA 02139

fmkashif(at)mit(dot)edu

Research Interests

My technical interests lie in system modeling and model analysis, signal and information theory, and algorithm development. In my current work, I apply these methodologies to the cardiovascular system, the cerebral vasculature in particular, aiming to develop simple yet clinically useful models that help physicians make diagnoses and track disease progression. Using mathematical models rooted in our physiological understanding of the cerebral circulation, I seek to estimate intracranial pressure non-invasively and quantify cerebrovascular autoregulation to assess disease severity in stroke and traumatic brain injury patients.

Research Engineer

E25-505
Laboratory for Computational Physiology,
Harvard/MIT Health Sciences and Technology
617-258-5406

lilehman(at)mit(dot)edu
MIT Website

MIT Lab for Computer Science
200 Technology Square, Rm 420A
Cambridge MA 01239
Telephone Extension 617-253-3508
WJL(at)mit(dot)edu
http://medg.csail.mit.edu/people/wjl/

http://sleep.med.harvard.edu/people/faculty/228/Atul+Malhotra+MD

Harvard-MIT Division of Health Sciences and Technology

MIT Room E25-505A
Cambridge, MA 02139 USA

george(at)mit(dot)edu
http://ecg.mit.edu/george

Nemati, Shamim

Clinical Research Scientist

Philips Medical Systems
3000 Minuteman Road, MS 0460
Andover, MA 10810
Tel: (978) 659-3451
Fax: (978) 659-7561
E-mail: larry.nielsen(at)philips(dot)com
www.medical.philips.com

Massachusetts General Hospital Dept. of Emergency Medicine
Instructor, Harvard Medical School
Visiting Scientist, Massachusetts Institute of Technology
Clinics Building 116, 45 Fruit Street
Boston, Massachusetts  02460

Tel-857-231-6019
Fax-617-258-7859

areisner(at)partners(dot)org

Scott, Daniel J, PhD

I completed my undergraduate degree in physics from the University of Bath, UK in 2002. During my placement year, I worked as an electronic design engineer at Swindon Silicon Systems Ltd. Upon graduation in 2002, I returned to Swindon Silicon Systems Ltd to complete my project on an electronic control system for test equipment. I then worked as a software engineer for P&Q International, a company providing time and attendance software, for 18 months before commencing my PhD in chemistry at University College London, UK (UCL). My PhD thesis is entitled 'The discovery of new functional oxides using combinatorial techniques and advanced data mining algorithms'. After completing my PhD, I worked as a software developer for Orbis Technology, an online gambling solutions provider, for 9 months before joining MIT, USA as a research engineer.

Web Site:

http://danieljamesscott.org

http://staging.catalyst.harvard.edu/Profiles/ProfileDetails.aspx?From=SE&Person=DT8

Professor of Computer Science and Engineering in the MIT Department of Electrical Engineering and Computer Science (EECS), Professor of Health Sciences and Technology in the Harvard/MIT Division of Health Sciences and Technology (HST), and head of the Clinical Decision-Making Group within the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).

MIT Computer Science and Artificial Intelligence Laboratory
The Stata Center, 32-254
32 Vassar Street Cambridge, MA 02139
psz(at)mit(dot)edu
http://www.medg.csail.mit.edu/people/psz/psz.html

Professor of Electrical Engineering

Massachusetts Institute of Technology
Department of Electrical Engineering and Computer Science,
Research Lab of Electronics
Room 10-140K
Cambridge, MA 02139

verghese(at)mit(dot)edu

George Verghese received his BTech from the Indian Institute of Technology, Madras in 1974, his MS from the State University of New York, Stony Brook in 1975, and his PhD from Stanford University in 1979, all in Electrical Engineering. Since 1979, he has been with the Massachusetts Institute of Technology, where he is Professor of Electrical Engineering in the Department of Electrical Engineering and Computer Science. He is also a member of MIT's Laboratory for Electromagnetic and Electronic Systems. His research interests and publications are in the areas of dynamic systems, modeling, estimation, signal processing, and control. Dr. Verghese has served as Associate Editor for Automatica, the IEEE Transactions on Automatic Control, and the IEEE Transactions on Control Systems Technology. He has made significant contributions to the fields of control theory and dynamic modeling, for which he has been named IEEE Fellow in 1998. In recent years, his research focus has shifted from applications in power systems and power electronics to applications in biomedicine, such as patient monitoring, and stochastic methods for biochemical and other networks.

Laboratory for Computational Physiology
Harvard-MIT Division of Health Sciences Technology
Rm E25-505,   45 Carleton St.,  Cambridge  MA  02142
Tel: 617-452-2575
Fax: 617-258-7859

http://www.mit.edu/~maurov

maurov(at)mit(dot)edu

MIT Computer Science and Artificial Intelligence Laboratory
  32 Vassar Street
  Room 32-257
  Cambridge, MA 02139

  yingz(at)mit(dot)edu
 

Research Interests

My goal is to improve patient monitoring in the Intensive Care Unit and other clinical settings. My research encompasses glycemic control, patient-specific modeling, and real-time development of monitoring algorithms for the care of critically ill patients. I am also interested in other innovative ways to apply engineering concepts and medical informatics to clinical problems.

Research Scientist
Philips Healthcare
Healthcare Informatics and Patient Monitoring

3000 Minuteman Road

Andover, MA 01810

Email: wei(dot)zong(at)philips(dot)com

Dr. Zong's research interests include medical signal/data processing and medical informatics. In particular, he is interested in developing advanced algorithms to assess ICU patients' physiological states with the aim of detecting and possibly predicting impending health crises.

Chen, Tiffany

Al-Aweel, Issa

Principal Investigator

Distinguished Professor in Health Sciences and Technology and Electrical Engineering and Computer Science

rgmark (at) mit (dot) edu
HST Website