Biostatistics

SEKAR Babitha

Research Fellow Email babitha1@nus.edu.sg SEKAR Babitha I am a Postdoctoral Fellow with a PhD in Biomaterials and Bioinformatics, specializing in the development of bionanomaterial-based wound dressings for biomedical applications, with a particular focus on managing wounds associated with metabolic diseases. With a strong background in multidisciplinary research, I am interested in identifying and understanding criticalRead more

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NIU Ziyuan

Research Fellow Email zniu@nus.edu.sg NIU, Ziyuan Ziyuan is interested in modeling immunity through advanced mathematical and statistical methods. Her PhD research focused on molecular dynamics simulations of the SARS-CoV-2 Spike glycoprotein, aiming to unravel its structural and functional mechanisms. Affiliation NUS Saw Swee Hock School of Public Health Research Areas Immunity modeling Academic/Professional Qualifications PhD. in

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ZHANG Xinyu

Research Fellow Email xinyu@nus.edu.sg ZHANG Xinyu Xinyu is interested in chronic diseases modelling with Bayesian methods. Her PhD research focused on large crossed mixed effects models and stochastic gradient MCMC algorithms. She is currently focusing on the study of frailty and cancers. Affiliation NUS Saw Swee Hock School of Public Health Research Areas Chronic diseases

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HU Gang

Research Fellow Email ghu70@nus.edu.sg HU Gang Gang Hu is interested in modelling epidemiological and chronic diseases, and he is keen on applying computational optimization techniques to his research. He is currently focusing on the study of hyperlipidemia. Affiliation NUS Saw Swee Hock School of Public Health Research Areas Infectious disease modelling Chronic disease modelling Numerical

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CLARKE, Ryan

Senior Research Fellow Email eairjc@nus.edu.sg CLARKE Ryan Dr. Ryan Clarke is a seasoned biosecurity and strategic affairs specialist with a career which has spanned defense, investment banking, healthcare, strategic research units, technology and government affairs. He has operated across the Asia-Pacific over a 20-year period as well as the Middle East, Africa and Latin America

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DU, Hao

Research Fellow Email ephdh@nus.edu.sg DU, Hao Dr. Du Hao currently serves as a research fellow at NUS Saw Swee Hock School of Public Health. His research interests primarily revolve around model development and clinical validation for machine learning and deep learning in medical data. Additionally, Dr. Du Hao is an entrepreneur who specializes in MedTech

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CHUNG The Hao

Visiting Senior Research Fellow Email haoct@nus.edu.sg CHUNG The Hao Dr. Hao is a trained microbiologist fascinated at how microbes evolve and interact with human. His research seeks to combine high-resolution genomic data and clinical studies to answer relevant public health questions on infectious diseases epidemiology and evolution, and to translate understandings on bacterial evolution and

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PHUNG, Khanh Lam

Senior Research Fellow Email lampk@nus.edu.sg PHUNG, Khanh Lam I am a general medical doctor by training but then obtained a Ph.D. with a quantitative focus on developing clinical prediction models in dengue and have spent most of my research career working as a biostatistician. With colleagues at the Oxford University Clinical Research Unit in Vietnam,

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JIN Shihui

Research Fellow Email jinshihui@nus.edu.sg JIN Shihui Shihui is interested in infectious disease modelling with mathematical and statistical methods. Her PhD research focused on modelling the transmission dynamics and forecasting outbreaks of SARS-CoV-2. Affiliation NUS Saw Swee Hock School of Public Health Research Areas Infectious disease modelling Wastewater epidemiology Vaccine confidence Academic/Professional Qualifications PhD in Statistics,

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ENDO Akira

Assistant Professor Email aendo@nus.edu.sg ENDO Akira Dr Akira Endo is an Assistant Professor at the NUS Saw Swee Hock School of Public Health. His research focuses on mathematical modelling of infectious disease dynamics in the population. Compared with other types of diseases, infectious diseases are unique in that protecting an individual from a disease also

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