Sunantha Sethuraman

Associate Principal Scientist, Translational Research

Cambridge, Massachusetts, United States
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Summary

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Top School
Sunantha Sethuraman is an Associate Principal Scientist in translational research with 8 years of experience applying computational biology and data science to oncology and clinical biomarker discovery. She has led bioinformatics for clinical-stage assets and commercialization strategy, integrating public biomarker and real-world evidence to support trials and CDx planning. Her background spans discovery and translational roles at AbbVie and Repare, where she developed ML and multivariate models for target ID, engineered workflows for CRISPR and single-cell multi-omics, and led informatics for a first-in-class PKMYT1 inhibitor. Trained as a PhD geneticist with a minor in applied statistics, she blends rigorous computational methods with wet-lab insight to translate omics signals into clinical hypotheses. Based in Cambridge, MA, she’s known for cross-consortium work (TCGA/CPTAC) and for standardizing somatic mutation and methylation pipelines that enable reproducible translational analyses.
code7 years of coding experience
job8 years of employment as a software developer
bookBachelor of Technology (B.Tech.), Biotechnology, Bachelor of Technology (B.Tech.), Biotechnology at Anna University Chennai
bookDoctor of Philosophy (Ph.D.), Medical Sciences (Genetics); Minor in Applied Statistics, Doctor of Philosophy (Ph.D.), Medical Sciences (Genetics); Minor in Applied Statistics at University of Florida
languagesTamil, English
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Github Skills (4)

bioinformatics5
pipeline4
fusion4
codebase2

Programming languages (2)

RPerl

Github contributions (4)

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ding-lab/CPTAC_miRNA

Oct 2018 - Jan 2019

Contributions:12 commits, 5 pushes in 2 months
ding-lab/cptac_methylation

May 2018 - Aug 2018

Methylation array analysis pipeline for CPTAC
Contributions:7 commits, 5 pushes in 2 months
analysis-pipelinearraypipelinebioinformaticsmethylation
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Sunantha Sethuraman - Associate Principal Scientist, Translational Research