Summary
Divy Kangeyan is a Lead Data Scientist with 11 years of experience fusing biostatistics, computational biology, and bioinformatics to drive translational and regulatory-impacting work in genomics and cell therapy. With a Ph.D. from Harvard, he has led statistical programs for IND filings, developed pipelines across sequencing technologies, and published an R package for one-sample log-rank tests used in survival analyses. His background spans industry leaders (Illumina, Broad Institute, Sana, Natera) where he built algorithms for liquid biopsy assays, CRISPR off-target analyses, and proteomic biomarker models for patient stratification. Known for bridging rigorous statistical methodology with production-ready pipelines and FDA/CDISC-compliant documentation, he also brings hands-on HPC and cloud pipeline experience for single-cell and methylation data. Early curiosity—exploring Sri Lankan ruins as a child—still fuels his drive to unravel biological complexity and translate insights into clinical impact.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Biostatistics, Doctor of Philosophy (PhD) Biostatistics at Harvard University
GCE (O/L) GCE, GCE (O/L) GCE at Royal College Colombo
Bachelor of Science (BS) Biomedical/Medical Engineering, Bachelor of Science (BS) Biomedical/Medical Engineering at Rutgers University
Spanish, Tamil, Sinhala, English