Chris Fook Sheng Ng 准教授
BSc, MAppStats, PhD
Research gate/Linked-in アカウント
School of Tropical Medicine and Global Health, Nagasaki University, Japan
Chris received his Bachelor of Science from the University of Nebraska-Lincoln (USA) (2002), a Master of Applied Statistics with distinction from the University of Malaya (Malaysia) (2005), and a PhD in Health Science from the University of Tokyo (Japan) (2011) for research on statistical method to measure the relative performance of post-market treatments in the absence of suitable controls. Following completion of his PhD, he went on to hold a postdoctoral position at the National Institute for Environmental Studies (Japan) where he studied the health effects of ambient temperatures and air pollution in Japan. In 2013, he became a postdoctoral fellow under the Japan Society for the Promotion of Science and expanded his work on environmental pollution and health to the developing countries in the tropics. He continued his work as an assistant professor at the Institute of Tropical Medicine, Nagasaki University (Japan), from late 2015 until early 2018. From April 2018, he joined the School of Tropical Medicine and Global Health at the same university as an Associate Professor. He was a Rutherford Fellow at the London School of Hygiene and Tropical Medicine (United Kingdom) between August 2018 to January 2019.
Chris teaches biostatistics at the School of Tropical Medicine and Global Health at Nagasaki University, and previously, the School of International Health at the University of Tokyo. He has previously organized and taught undergraduate courses in statistics, actuarial mathematics, and quantitative analysis.
Chris is interested in environmental epidemiology and the related statistical methods. His research focuses on the assessment of human health risk associated with atmospheric exposures such as air pollution, ambient temperatures, airborne pollen, and intercontinental dust events. He is currently leading a project to measure the health impacts of landscape fires that affect the air quality of many Southeast Asian cities. He is involved in a project that investigates the associations of fine particulate matter, its chemical constituents and sources with the lung function of asthma patients. He is also leading a study to examine the forward displacement of daily mortality attributable to air temperatures in tropical setting.
Given his extensive training in applied statistics, Chris is also interested in the application of statistics in a multidisciplinary context involving other health fields and looks forward to working with researchers from different backgrounds.
- Ng CFS, Boeckmann M, Ueda K, Zeeb H, Nitta H, Watanabe C, Honda Y. Heat-related mortality: effect modification and adaptation in Japan from 1972 to 2010. Global Environmental Change. 2016; 39: 234-243.
- Ng CFS, Stickley A, Konishi S, Watanabe C. Ambient air pollution and suicide in Tokyo, 2001-2011. Journal of Affective Disorders. 2016; 201: 194-202.
- Konishi S, Ng CFS, Stickley A, Nishihata S, Shinsugi C, Ueda K, Takami A, Watanabe C (2014). Particulate matter modifies the association between airborne pollen and daily medical consultations for pollinosis in Tokyo. Science of the Total Environment. 2014; 499: 125-132.
- Ng CFS, Ueda K, Takeuchi A, Nitta H, Konishi S, Bagrowicz R, Watanabe C, Takami A. Socio-geographic variation in the effects of heat and cold on daily mortality in Japan. Journal of Epidemiology. 2014; 24(1): 15-24.
- Ng CFS, Ueda K, Ono M, Nitta H, Takami A. Characterizing the effect of summer temperature on heat-stroke-related emergency ambulance dispatches in the Kanto area of Japan. International Journal of Biometeorology. 2014; 58(5): 941-948.
In the digital age where data are collected faster and greater in quantity, strong quantitative skills are important to allow one to extract useful information from data. Statistics is central to this process. As you begin your journey with us, there will be opportunities to gain knowledge in statistical inference and develop skills in data analysis and interpretation. You will also be exposed to the data-driven approaches in epidemiology. I look forward to meeting students and researchers interested in utilizing these skills to improve health.