Li-wei Lehman

Research Scientist. massachusetts institute of technology
E25-505 · 77 Massachusetts Ave. · Cambridge, MA 02139 · LILEHMAN@MIT.EDU

I am a research scientist in the Laboratory for Computational Physiology (LCP) at the MIT Institute for Medical Engineering & Science (IMES). My research focuses on the use of machine learning techniques for physiological and patient monitoring. My 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.

Within IMES at MIT, I work 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. I also work on the MIMIC-II project in “Integrating Data, Models, and Reasoning in Critical Care” , which is an NIH-sponsored Bioengineering Research Partnership (BRP) to develop and evaluate advanced intensive care unit (ICU) patient monitoring and decision support systems. I received my Master’s degree in Computer Science from Georgia Institute of Technology, and my Ph.D. from Massachusetts Institute of Technology in June 2005.

I am currently looking for a postdoc. Please see here for more details.

Recent Publications (Highlights)

Publications (By Year)








Honors and Professional Activities

  • Local organizing committee of the Computing in Cardiology Conference held in Boston, September 2014.

  • Member of the IEEE and the IEEE Engineering in Medicine and Biology Society.

  • Closing plenary presentation in the 2014 Computing in Cardiology Conference on “Uncovering Clinical Significance of Vital Sign Dynamics in Critical Care,” Boston, September 2014.

  • Closing plenary presentation in the 2010 Computers in Cardiology Conference on “Hypotension as a risk factor for acute kidney injury in ICU patients,” Belfast, September 2010.

  • Best poster presentation award, Computers in Cardiology Conference, September 2007.

  • Recipient of Schoettler Fellowship, awarded to outstanding incoming graduate students, MIT.

  • Appointed as Head TA for 1.00, Introduction to Computers and Engineering Problem Solving, an MIT course comprising 200 students and 18 student teaching staff, 2001.

  • MIT class awards: (1) algorithm & implementation in C++ won 2nd place in final project contest in MIT course 1.124; (2) voted one of the top 3 term papers in MIT course 6.853, Computer Systems.