Mengling 'Mornin' Feng (Ph.D.)

Assistant Professor
Saw Swee Hock School of Public Health
School of Computer Science
Yong Loo Lin School of Medicine
National University of Singapore

Senior Assistant Director
Academic Information Office
National University Hospital (NUH)

Research Affiliate
Lab of Computational Physiology
Harvard-MIT Joint Health, Science and Technology
Massachusetts Institute of Technology (MIT)

Email: ephfm (at) nus (~dot~) edu (~dot~) sg OR mfeng (at) mit (~dot) edu

 News & Highlights:

• NUS-MIT Healthcare Analytics Datathon 2017 Register NOW! .
• Top 8 (out of 1231 participants) and selected for collaborative round in the Digital Mammogram DREAM challenge.
• Paper accepted in Journal of Intensive Care Medicine (IF 3.2) The Effect of ARDS on Survival: Do Patients Die From ARDS or With ARDS? [PDF] .
• Paper accepted in IEEE Transaction on Biomedical Engineering (IF 2.5) Robust Causality Analysis of Non-Stationary Multivariate Physiological Time Series May 20 2017 [PDF] .
• Featured in A*STAR Research article Big Data Detectives Nov 02 2016.
• Paper in Nature Scientific Data! MIMIC-III, a freely accessible critical care database May 24 2016
• Paper in Science Translation Medicine! A “datathon” model to support cross-disciplinary collaboration April 08 2016
• Appointed Assistant Professor of Saw Swee Hock School of Public Health & Yong Loo Lin School of Medicine National University of Singapore Dec 2016
• Paper "Obesity, Acute Kidney Injury, and Mortality in Critical Illness" accepted in Critical Care Medicine (IF 6.312)
• Paper "The Association Between Indwelling Arterial Catheters and Mortality in Hemodynamically Stable Patients With Respiratory Failure: A Propensity Score Analysis" accepted in CHEST (IF 7.5) .
• Paper "Hyperdynamic left ventricular ejection fraction in the intensive care unit" accepted in Critical Care (IF 4.5) .

 Current Research Interests:

• Casual Inference for Evidence-based Medicien
• Comparative Effectiveness Research
• Generative Models for Medical Time-series
• Big Data for Healthcare

 Awards:

• McKinsey Insight Program, 2015
• MIT Teaching & Learning Laboratory Kaufman Teaching Certificate, 2015
• Second runner-up of Best Student Paper Award, KDD Working Group, AMIA, 2014
• Finalist of MIT 2013 Innovation in Health Care Conference Innovation Showcase, 2013
• Singapore, A*STAR overseas fellowship, 2012-2014
• Best in "Science" Award, ArtScience Image Competition, 2011
• Team-player of Data Mining Department, Institute for Infocomm Research 2010~2012.
• 1st Runner-up Best Paper Award, ADMA conference 2008.
• I2R Bi-annual Best Paper Award, 2005.
• A*STAR Graduate Scholarship, 2004-2008.
• Ministry of Education, Singapore, Scholarship, 1997-2003.

 Education:

• Doctor of Philosophy in Data Mining, Nanyang Technological University, 2004-2009.
  Supervisors: Prof. Limsoon Wong, Assoc. Prof. Yap-Peng Tan & Assoc. Prof. Jinyan Li.
• Bachelar's Degree, School of Electrical & Electronic Engineering, Nanyang Technological Univeersity, 1999-2003.
  1st Class Honors.