Academic Profile : Faculty

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Dr Michele Nguyen
Lecturer, College of Business (Nanyang Business School)
External Links
Dr Michele Nguyen is a Lecturer with the Nanyang Business School and School of Computer Science and Engineering in Nanyang Technological University (NTU). She received her PhD in Mathematics Research (Statistics) from Imperial College London. Prior to joining NTU, she was a postdoctoral researcher in Geospatial Epidemiology at the Malaria Atlas Project in the University of Oxford. She later worked as a Research Fellow in the Disaster Analytics for Society lab and as a co-instructor of the Data Science course at the Asian School of the Environment, NTU.
Her research interests are in risk analysis for the environment and public health, and the development of advanced statistical methods involving spatial statistics, time series analysis and extreme value modelling. She has published in prestigious journals across multiple disciplines including Nature Sustainability, Scientific Reports, Risk Analysis and the Lancet. Her work has also been featured in the World Health Organisation’s World Malaria Report and the United Nations Office for Disaster Risk Reduction’s Global Assessment Report on Disaster Risk Reduction.
2020 - Collaboration Fund (Data and its Applications), Imperial College London and Nanyang Technological University (with David Lallemant and Almut E.D. Veraart)
2016 - Doris Chen Merit Award, Mathematics Research Committee, Imperial College London
2013 - NSF Link Grant, CliMathNet
2013 - Imperial College PhD Scholarship, Imperial College London
2013 - Gutiérrez Toscano Prize in Applied Statistics, M.Sc. Examiners, University of Oxford
2012 - Hyman Levy Memorial Prize, Imperial College London
2011 - GAAPS Award for Examination Performance, GAAPS Actuarial
2010 - Gloucester Research Award for Academic Excellence, G-Research
Fellowships & Other Recognition
2019 - UK representative, 21st European Young Statisticians Meeting, European Regional Committee of the Bernoulli Society
Courses Taught
AB1202 - Statistics & Analysis