Causal Inference

It is often said that “correlation does not imply causation”. Here, Prof Sun Baoluo discusses why causal inference is important for translating the insights gleaned from Big Data through data analytics into actionable knowledge for informed decision-making. He also delves into opportunities to conduct causal inference research in Singapore.

Prof Sun Baoluo

Data Science and Analytics Programme

Prof Sun received his B.Sc. in Biomedical Engineering from Johns Hopkins University, and his Ph.D. in Biostatistics from Harvard University under the A*STAR (Agency for Science, Technology and Research) National Science Scholarship. He is currently an Assistant Professor in the Department of Statistics and Applied Probability. His research interests lie in causal inference, missing data and the development of data analytic methods for health and social sciences.