Modelling

Chelsea BAKER

Research Fellow Email baker.chel@nus.edu.sg Chelsea BAKER Chel Baker has a background in public health nursing and infectious disease epidemiology. Her research interests include global health and spatial epidemiology. Her personal interests include yoga, scuba diving, and spending time with her family and pets. Affiliation NUS Saw Swee Hock School of Public Health Research Areas GlobalRead more

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GHANI Azra

Professor Email a.ghani@nus.edu.sg GHANI, Azra In addition to my role at NUS, I am currently Academic Director of Imperial Global Singapore, Director of the MRC Centre for Global Infectious Disease Analysis and Chair in Infectious Disease Epidemiology at the School of Public Health, Imperial College London. I also hold a Visiting Professor appointment at LKC

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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 critical

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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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LIM Jun Sik

Research Fellow Email jun-sik.lim@nus.edu.sg LIM Jun-Sik Jun-Sik Lim is a research fellow at the Saw Swee Hock School of Public Health, National University of Singapore. A veterinarian by training with expertise in public health and epidemiology, he investigates disease transmission at the human-animal interface, focusing on wildlife and zoonotic diseases. His research applies spatiotemporal and

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Bang Chungli

Adjunct Lecturer Tel +65 9690 1939 Email chungli.bang@moht.com.sg BANG Chungli Dr Bang Chungli is a senior assistant director and a public health improvement specialist clinician with the National Improvement Unit at MOHT, Singapore, where he leads the Improvement Insights and Data Analytics arm of the unit. Currently, he is driving three large-scale improvement initiatives—the National

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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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Djaafara, Bimandra Adiputra

Research Fellow Email  bimandra.djaafara@nus.edu.sg Djaafara, Bimandra Adiputra I am an infectious disease epidemiologist and modeller with a strong interest in applying and developing statistical and mathematical models to understand the dynamics of infectious diseases through various data sources. My research focuses on developing and applying models (statistical and mathematical) to help inform public health policies

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