Mengling 'Mornin' Feng's Homepage

Mengling 'Mornin' Feng (Ph.D.)

Institute for Infocomm Research, A*STAR

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

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

Email: mornin (at) gmail (~dot~) com OR mfeng (at) mit (~dot) edu



 News & Highlights:

  • Paper in Science Translation Medicine! A “datathon” model to support cross-disciplinary collaboration April 08 2016
  • Appointed Adjunct Assistant Professor of Saw Swee Hock School of Public Health & Yong Loo Lin School of Medicine National University of Singapore Feb 01 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) .
  • Completed McKinsey Insight Program 2015 (McKinsey Insight) .
  • Obtained MIT Teaching & Learning Laboratory Kaufman Teaching Certificate KTCP'15 .
  • Completed MIT Impact Innovation Program IMPACT'15 .
  • Paper "A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data" accepted in AAAI'15 .
  • Paper "Risk Prediction for Acute Hypotensive Patients by Using Gap Constrained Sequential Contrast Patterns" won 2nd Runner-up in student competition (Knowledge Discovery and Data Mining Working Group) AMIA'14 .
  • "Big Data for Critical Care with Cloud-based In-memory Database" featured in AMIA 2014 highlights .

 Current Research Interests:

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


  • 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.


  • 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.
  Last Updated: 07/2015
Mengling Feng @ MIT, US