BiostatisticsComputational BiologyDeep Learning for Genomic AnalysisEpigeneticsGeneticsNext-Generation Sequencing (NGS)
I am a bioinformatics scientist specializing in computational oncology assay development and optimization at Roche. My expertise includes leveraging large-scale genetic and phenotypic data, sequencing technologies, and advanced computational methods to explore human traits and disease.
Prior to my current role, I completed a PhD at the University of Toronto in collaboration with the Ontario Institute for Cancer Research. My doctoral research focused on investigating genetic and epigenetic factors influencing allele-specific expression and their impact on population variability, human traits, and disease. This work was supported by prestigious funding awards, including the Ontario Graduate Scholarship (OGS) and NSERC Postgraduate Scholarship-Doctoral.
I am passionate about applying bioinformatics to projects with direct translational potential, particularly in a collaborative, multidisciplinary environment. My technical expertise spans computational biology, population genetics, epigenomics, biostatistics, and genomic data analysis.
We will review the reports from both consultant and Client to give the best decision. It will take 3-5 business days for reviewing after receiving two reports.