- Book Chapter: Types of Quantitative Data (Continuous, Categorical, Distributions, Skewness). Introducing, Designing and Conducting Research for Paramedics, p.115. Elsevier Health Sciences.
- Selected Journal Publications: Multiple publications in Nature Medicine, The Lancet Digital Health, etc., covering topics such as ethical frameworks for AI, generative AI in healthcare, AI in medical education, and interpretable AI methods
- Developed Python libraries and R packages like ShapleyVIC and AutoScore
Research Experience
- Senior Research Fellow, Centre for Quantitative Medicine (CQM) & Duke-NUS AI + Medical Sciences Initiative (DAISI), Duke-NUS Medical School
Education
- 2016-2020: PhD, NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
- 2010-2014: B.Sc. (Hons. 2nd upper) in Statistics, Department of Statistics and Applied Probability, National University of Singapore, Singapore
Background
- Biostatistician, Data Scientist
- Research interests: Explainable AI, Biostatistics, Epidemiology, Statistical programming