This meeting represents the typical setup of our research projects --- a close collaboration among clinicians and data scientists. Through these projects, I have observed the impact and value of continuous learning from medical data, and I have also learned the crucial factors needed to successful realize the value of medical data. In the seminar, it will be my honor to share these researches and leaning experience with the audience and to explore any chances of collaborations.
专家情况简介
|
姓 名 |
Mengling Feng |
性 别 |
男 |
国 籍 |
新加坡 |
|
专业技 术职务 |
助理教授 |
学 历 |
博士 |
专 业 （学科） |
计算机科学 |
|
工作单位 |
National University of Singapore |
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主要 社会 兼职 |
Adjunct Assistant Professor of Saw Swee Hock School of Public Health & Yong Loo Lin School of Medicine National University of Singapore. |
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简历 |
Dr. Mengling Feng (http://web.mit.edu/mfeng/www/) is currently the lab head of the Bioinformatics and Healthcare Analytics lab, Data Analytics Department, Institute for Infcomm Research. He is also jointly appointed as the Adjunct Assistant Professor in both the Saw Swee Hock School of Public Health and Yong Loo Lin School of Medicine, National University of Singapore. Dr. Feng was a Senior Post-doc and is currently a Research Affiliate with the Lab of Computational Physiology, Harvard-MIT Health Science Technology Division. His research is to develop effective medical Big Data management and analysis methods to extract actionable knowledge to improve the quality of care. His research brings together concepts and tools across machine learning, optimization, signal processing, statistical causal inference and big data management. In particular, he has been publishing on physiological signal forecasting, modeling of disease progress trajectory, dynamic patient phenotyping, statistical understanding of treatment effects and management of heterogeneous medical big data. |
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主要 学术 成就 （成果） |
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. |
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