Modelling

ROELLIN Adrian

Associate Professor (Joint) Email adrian.roellin@nus.edu.sg ROELLIN AdrianAffiliation NUS Saw Swee Hock School of Public Health (Joint) NUS Department of Statistics and Applied Probability (Primary) NUS Department of Mathematics Research Areas Stein’s method for distributional approximation Random graphs and networks and random combinatorics Mathematical and stochastic modelling of infectious diseases Machine learning in statistical inference Academic/Professional Qualifications PhD Mathematics (2006, University of Zürich) MSc Mathematics (2002, University of Zürich) Career History Since 2015, Associate Professor at the Department of Statistics and Applied Probability, NUS 2009–2014, Assistant Professor at the Department of StatisticsRead more

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HARTMAN Mikael

Programme Leader (Breast Cancer Prevention); Associate Professor (Joint) Tel (65) 6516 4968 Email ephbamh@nus.edu.sg HARTMAN Mikael Assoc Prof Mikael Hartman has been practising in Singapore since 2009 and is originally from Stockholm, Sweden where he received his training at Karolinska Institute. That is also where he received his board certification in General Surgery in 2005. Having completed his doctoral studies in the field of epidemiology in 2007, he specializes in the field of breast cancer etiology and prognostication as well as inheritance of cancer prognosis. He heads a research group of more

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WANG Yi

Assistant Professor (Research) Email ephwyi@nus.edu.sg WANG Yi Dr WANG Yi’s research areas include early health technology assessment, traditional health technology assessment, population’s preference for health and healthcare, and economic evaluation/analysis using real-world data and observational data. He is also interested in medical innovation and promoting efficient medical innovation process. Affiliation NUS Saw Swee Hock School of Public Health Research Areas Health economics Health technology assessment Early health technology assessment Consumers’/patients’ preference and decision making Real-world data, real-world evidence Teaching Areas Public health economics Health econometrics Health technology assessment Early health technology

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DICKENS Borame Sue Lee

Assistant Professor Email ephdbsl@nus.edu.sg DICKENS Borame Sue LeeAffiliation NUS Saw Swee Hock School of Public Health Research Areas Infectious disease epidemiology Effects of environment on health Infectious vector biology Academic/Professional Qualifications PhD Imperial College London MSc Imperial College London BSc University College London Media Coverage IN FOCUS: Is Southeast Asia losing the battle against dengue?, CNA Asia, 30 March 2024 The cautious opening of international borders: Will going on an overseas holiday be practical and safe?, CNA Heart of the Matter, 29 October 2020 Explainer: Why Singapore's east and north tend

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FINKELSTEIN Eric Andrew

Professor (Joint) Tel (65) 6516 2338 Email eric.finkelstein@duke-nus.edu.sg FINKELSTEIN Eric Andrew Dr. Finkelstein is Professor of Health Services and Systems Research at the Duke-NUS Medical School, Singapore and the Executive Director of the Lien Centre for Palliative Care. He also holds appointments at NUS School of Public Health and Duke University Global Health Institute. His research focuses on the economic causes and consequences of health behaviors, with a primary emphasis on the use of traditional and behavioral economic incentives to influence behaviors in ways to improve the public’s health. Recent research also

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COOK Alex Richard

Vice Dean (Research); Domain Leader (Biostatistics & Modelling); Professor Tel (65) 856 999 49 Fax (65) 6872 3919 Email ephcar@nus.edu.sg COOK Alex Richard Dr Alex Cook is a Professor at the NUS Saw Swee Hock School of Public Health where he is also the Vice Dean (Research). He works on infectious disease modelling and statistics, including dengue, influenza and other respiratory pathogens, and on population modelling to assess the effect of evolving demographics on non-communicable diseases such as diabetes. His multidisciplinary team brings together researchers from the fields of statistics, computational biology, computer

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