How Statisticians Model the Spread of COVID-19

The Ministry of Health works closely with researchers from NUS to make informed decisions about the spread of COVID-19 in Singapore. Profs Adrian Roellin and Alex Cook discuss the basic mathematical tools that go into understanding and predicting the present coronavirus epidemic.

Prof Adrian Roellin

Department of Statistics and Applied Probability

Prof Roellin has a Ph.D. in Mathematics from the University of Zürich, and after postdoctoral positions at the University of Oxford and the Institute for Social and Preventive Medicine, he joined NUS in 2009, where he is currently an Associate Professor at the Department of Statistics and Applied Probability.

Prof Alex Cook

Saw Swee Hock School of Public Health
Department of Statistics and Applied Probability

Prior to joining NUS in 2008, Prof Cook worked or studied at Cambridge University, Heriot-Watt University, and Biomathematics and Statistics Scotland. He is an Associate Professor at the Saw Swee Hock School of Public Health, where he is also the Vice Dean of Research and the leader of the biostatistics and modelling domain. He is also Associate Professor at NUS’ Department of Statistics and Applied Probability, and holds other appointments at Duke-NUS Medical School, Yong Loo Lin School of Medicine, the National Centre for Infectious Diseases and the Ministry of Health.