Raghavendran Partha is a Staff Bioinformatics and Data Scientist with a decade of experience translating large-scale genomics and methylation sequencing data into actionable insights for early cancer detection. Currently at GRAIL, he builds bioinformatic pipelines and statistical models to extract signals from targeted methylation assays, after developing genome-scale methods at AncestryDNA to study human trait genetics. He holds a PhD in Computational Biology from the joint University of Pittsburgh–Carnegie Mellon program and is fluent in R and Python, with a track record of applying molecular evolution concepts to link genotypes and phenotypes. Comfortable moving between research and production settings, he has hands-on experience in eQTL analysis and context-specific regulatory effects from work at Biogen and academic labs. Colleagues rely on him for quickly learning new computational methods and turning complex biological questions into scalable analyses that inform both discovery and clinical applications.
10 years of coding experience
11 years of employment as a software developer
Indian Institute of Technology Madras
High School Maths Physics Chemistry Computer Science, High School Maths Physics Chemistry Computer Science at DAV Boys Senior Secondary School
Doctor of Philosophy (Ph.D.) Computational Biology, Doctor of Philosophy (Ph.D.) Computational Biology at University of Pittsburgh
Doctor of Philosophy (Ph.D.) Computational Biology, Doctor of Philosophy (Ph.D.) Computational Biology at Carnegie Mellon University
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Raghavendran Partha - Staff Bioinformatics And Data Scientist