Singapore
At the National Cancer Centre Singapore, our team has been instrumental in advancing liver cancer research through a major international study. My role, leveraging over ten years of experience in bioinformatics, intersects complex multi-omics approaches, including groundbreaking work with single-cell RNAseq and spatial transcriptomics to discover predictive biomarkers for immunotherapy response and prognostic biomarkers for recurrence. Prior to this, at A*STAR, we developed machine learning pipelines crucial for predicting cancer cell behaviors and in silico drug screening. My competencies are rooted in RNAseq Analysis, and my mission is to translate bioinformatics research into tangible clinical outcomes.
Involved in a large-scale international translational and clinical study on Liver cancer, which utilizes various types of patient biosamples and employs multi-omics approaches including single-cell RNAseq and spatial transcriptomics as well as genomic sequencing analysis
Deploying various machine learning algorithms and developing pipelines to predict cancer cells and insilico screening of drugs to treat them.
I have been working as Senior Bioinformatician (Research Associate) at the Centre for Computational Biology(CCB) and Program in Cardiovascular and Metabolic Disorders (CVMD) at Duke-NUS Medical School, Singapore in collaborative setting using High-Performance Computing (HPC) cluster service.
have the first-hand experience in using various open-source software programs (R, SPSS) for the analysis of large cancer genomic datasets. Additionally, I interacted with other non-bioinformatician staff for data analysis discussions and guidance.
At NTU, as a Master’s student, I worked on a project entitled “Analysing various stages of Hepatocellular Carcinoma via clusters and pathways associated with gene regulatory networks” under the supervision of Dr. Manoranjan Dash. Interfaces and programming used: Linux, Perl Programming