Feng Mengling

Associate Professor

Tel (65) 6516 4984

FENG Mengling

Affiliation

  • NUS Saw Swee Hock School of Public Health (Primary)

Research Areas

  • Casual Inference for Evidence-based Medicine
  • Generative Models for Medical Time-series Analysis

Teaching Areas

  • Healthcare Data Analytics
  • Big Data Technologies for Healthcare Problems

Academic/Professional Qualifications

  • Senior Post-doc (2014), Harvard-MIT Health Science Technology Division, MIT, US
  • PhD (2009), Nanyang Technological University, Singapore
  • Bachelor (2003), Nanyang Technological University, Singapore

Awards/Honours

  • MIT Teaching & Learning Laboratory Kaufman Teaching Certificate
  • Second runner-up of Best Student Paper Award, KDD Working Group, AMIA
  • Finalist of MIT 2013 Innovation in Health Care Conference Innovation Showcase

Career History

  • Head of Biomedical and Healthcare Analytics Lab, Institute for Infocomm Research, Singapore (2014~2015)
  • Affiliate Scientist, Harvard-MIT Health Science Technology Division, MIT (2014~present)
  • Scientist, Institute for Infocomm Research, Singapore (2009~2012)

Professional/Consulting Activities

  • International Scientific Advisory Committee, 16th International Symposium on Intracranial Pressure and Neuromonitoring
  • Committee, Knowledge and Data Mining Workgroup, AMIA
  • Co-chair, Big Data in Bioinformatics and Health Informatics Workshop at IEEE Big Data Conference

Major Publications

  • Mengling Feng (equal contribution), et al. A Datathon Model To Support Cross-disciplinary Collaboration. Science Translational Medicine, 8(333):333-8, Apr. 2016.
  • Mengling Feng (co-first author) et al. The Association Between Indwelling Arterial Catheters and Mortality in Hemodynamically Stable Patients With Respiratory Failure. CHEST,148(6):1470-6, 2015
  • Mengling Feng (corresponding author). ¿A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data¿. AAAI, 2015

Media Coverage

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