Data science has been an overly generalised term. But I focus on the statistical side: hypothesis testing, algorithm design, model prediction, result interpretation, to name a few. I strive to dig deeper and wider, uncover insights from complex datasets, and present them in intuitive ways. As technology develops, big data emerges astronomically and innovative methods appear everyday, it's ever more important to keep learning, and stay curious.
Machine learning, model building and analysis
Statistical programming, heavily using R since 2014
Data visualisation, interactive graphics, dashboard
Epidemiology, dengue, COVID-19
Bayesian statistics, MCMC algorithm design
Big data analysis, clinical data insights
The Laboratory of Data Discovery for Health (D24H)
Research associate
Saw Swee Hock School of Public Health, National University of Singapore
Research assistant
YH2 Capital Management
Data analyst
Ph.D., Department of Statistics and Data Science, National National University of Singapore
B.Sc. (hons) 1st class, Department of Statistics and Data Science, National National University of Singapore
R, SQL, Matlab, Python, Excel VBA, SPSS, SAS, C++, Ruby
Native in Mandarin, proficient in English, elementary in German and French