Summary
Yuvaraj Mahendran is a biostatistician with eight years of experience applying statistical genetics, metabolomics, and clinical trial methods to type 2 diabetes biomarker discovery. Currently at ICON and previously at PEPperPRINT and leading academic centers, he combines hands‑on programming in R, SAS and Python with expertise in GWAS, Mendelian randomization, and high-density peptide array analyses. His work spans large population resources (UK Biobank) and RCTs, and has contributed to high-impact publications linking genetic variation to metabolic traits and disease risk. Comfortable in Linux environments and with clinical data pipelines, he brings both lab-based genomics experience and advanced statistical planning to translational projects. An often-overlooked strength is his track record supervising and collaborating across international consortia, translating complex genetic signals into actionable biomarkers.
8 years of coding experience
Doctor of Philosophy - PhD, Biomarker Identification in Type 2 Diabetes, Doctor of Philosophy - PhD, Biomarker Identification in Type 2 Diabetes at University of Eastern Finland
12th grade, Maths and Biology, 12th grade, Maths and Biology at Madras christian college higher secondary school
Master's degree, Biotechnology, Master's degree, Biotechnology at Loyola college