Celi, Leo, MD
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.
Frassica, Joseph J, MD
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
Feng, Mengling, PhD
Massachusetts Institute of Technology
Laboratory for Computational PhysiologyRoom E25-505
77 Massachusetts AvenueCambridge, MA 02139 mfeng(at)mit(dot)edu
Dr. Mengling Feng (http://web.mit.edu/mfeng/www/) obtained both his Bachelor and PhD degrees from School of Electronic and Electrical Engineering, Nanyang Technological University. Under the supervision of Prof. Limsoon Wong (School of Computing, NUS) and Prof. Yap-Peng Tan (School of EEE, NTU), Dr. Feng’s PhD study focused on developing data mining methods to discover meaningful knowledge that impacts real life practices. Before his current affliction at MIT, Dr. Feng joined the Data Analytic Department of Institute for Infocomm Research (I2R) as a research scientist. Dr. Feng was awarded the Ministry of Education Scholarship for his undergraduate studies and the A*STAR Graduate Scholarship for his PhD study. His work was also recognized with the “Bi-annual Best Paper Award” from the Institute for Infocomm Research. Dr. Feng’s research focus is to develop data mining and machine learning methods to discover or infer casual phenomenon among real-life practice and strategic planning.
Heldt, Thomas, PhD
Massachusetts Institute of Technology
Research Lab of ElectronicsRoom 10-140L
77 Massachusetts AvenueCambridge, 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.
Kashif, Faisal
Massachusetts Institute of Technology
Research Laboratory of Electronics
Room 10-024
77 Massachusetts AvenueCambridge, 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.