I am currently working as a faculty member (Instructor) at the Centre for Quantitative Medicine (CQM) at Duke-NUS Medical School. I am collaborating in several research projects in various health domains like ophthalmology (Singapore National Eye Centre), genetics and genomics, oncology (National Cancer Centre Singapore), heart disease (National Heart Centre Singapore), paediatrics and gynecology (KK Women’s and Children’s Hospital).
I am currently seeking new challenges in the area of genetics to advance my knowledge and skills in alignment with my goal of becoming a statistical geneticist. I believe that clinicians and scientists will increasingly want to take advantage of genetic information to diagnose, treat, prevent and cure many illnesses. Statistical methods for drawing reproducible and interpretable inferences from genetic data or combinations of genetic and other types of data are essential to promote the realization of the promise of genetics for clinical applications. I have been working in this area over the last year as described below:
- To investigate if known genetic loci for primary open angle glaucoma (POAG) are associated with visual field (VF) progression in patients from a Singaporean Chinese population, single nucleotide polymorphisms (SNPs) and their proxies from 10 POAG associated loci identified from genome wide association studies were tested for association with VF progression using logistic regression with an additive genetic model.
- We found that the presence of the index SNPs rs1192415 (TGFBR3-CDC7) was associated with VF progression in POAG patients.
- A weighted genetic risk score (GRS) was calculated for each patient, combining the effect size from the 11 index POAG SNPs, and tested for association with VF mean deviation at presentation.
Beyond the PhD in Statistics, I have more than five years of experience in advanced statistical modeling of biomedical data and knowledge of biostatistical methodologies in clinical research. My recent interests are angled towards methodologies for clinical trial designs with biomarkers. I am also interested in developing predictive models from a large-scale genomics data, with particular attention to the validation and replication of model results.