Modelling

WU David Bin-Chia

Associate Professor (Adjunct) Email david.wu@nus.edu.sg WU David Bin-Chia Dr. Wu is a seasoned industry leader and currently the Regional Director of Real-World Evidence (RWE) & Health Economics (HE) for Market Access (Asia Pacific) at Johnson & Johnson Innovative Medicine. He leads the development and execution of cross-functional RWE and HE strategies across all therapeutic areas andRead more

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TAN Hui Xuan Sharon

Research Fellow Email tan.sharon@nus.edu.sg TAN Hui Xuan Sharon Dr Sharon Tan is dually trained in public health and dentistry. She is actively engaged in health services research to address challenges in the healthcare system, translate research findings into practice, and champion better healthcare and health particularly for the underprivileged in society. Her current work revolves

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JIT Mark

Honorary Visiting Professor Email mark.jit@lshtm.ac.uk JIT Mark Mark Jit is professor of vaccine epidemiology and head of the Department of Infectious Disease Epidemiology at the London School of Hygiene & Tropical Medicine (LSHTM). He also holds visiting professorial appointments at the NUS Saw Swee Hock School of Public Health and the School of Public Health,

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Caro Jaime

CARO J. Jaime

Honorary Visiting Professor Email jaime.caro@mcgill.ca CARO J. Jaime I trained in medicine and epidemiology at McGill University but early on focused on health technology assessment. Most of my work is on methods development and teaching these new approaches. For Germany’s IQWiG, I proposed the use of efficiency frontiers as they rejected using the QALY. Recently, I

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Jörgen Möller

MÖLLER Jörgen

Honorary Visiting Associate Professor Email Jorgen.moller@evidera.com MÖLLER Jörgen To be able to predict the future with any credibility, data from multiple sources is required. This is regardless if it is epidemiology, public health or even production or demand you are looking at. The data then must be joint, typically in a model which extrapolates the

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CLAPHAM Hannah

Programme Leader (Infectious Diseases); Assistant Professor Email hannah.clapham@nus.edu.sg CLAPHAM HannahAffiliation NUS Saw Swee Hock School of Public Health Research Areas Infectious disease dynamics and control Impact of vaccination Dengue epidemiology and control Japanese Encephalitis epidemiology and control Inference from serological data Academic/Professional Qualifications BA Hons Mathematics University of Oxford (2004-2007) MSc Modern Epidemiology, Imperial College London

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TEERAWATTANANON Yot

Visiting Professor Email yot.t@hitap.net TEERAWATTANANON Yot Yot is a medical doctor and health economist by training. He found the Thai Ministry of Public Health’s Health Intervention and Technology Assessment Program (HITAP) before joining the Saw Swee Hock School of Public Health at the National University of Singapore as a Visiting Professor. He is also a co-founder

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PREM Kiesha

Assistant Professor Email kiesha.prem@nus.edu.sg PREM Kiesha Kiesha Prem is an Assistant Professor at the NUS Saw Swee Hock School of Public Health and the London School of Hygiene & Tropical Medicine. As an infectious disease modeller, she builds computational models to understand the population impact and cost-effectiveness of interventions against infectious diseases. Her research involves evaluating

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MA Stefan

Adjunct Associate Professor Email ephmsls@nus.edu.sg / stefan_ma@moh.gov.sg MA StefanAffiliation NUS Saw Swee Hock School of Public Health (Adjunct) Deputy Director (Biostatistics & Research), Epidemiology & Disease Control Division, Public Health Group, Ministry of Health Singapore (Primary) Research Areas Risk modelling, Burden of disease, Comparative risk assessment Disease projection, Small area analysis, Environmental health modelling, Disease

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FENG Mengling

Domian Lead, Biostatistics, Modeling, AI and Data Analytics (B.MAD) Domain Director, AI for Public Health (AI4PH) Program Associate Professor Tel (65) 6516 4984 Email ephfm@nus.edu.sg FENG Mengling ‘Mornin’ Mengling “Mornin” Feng is an Associate Professor at the National University of Singapore (NUS), where he directs the AI for Public Health (AI4PH) Program and leads the Biostatistics,

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