Aarthi Ramakrishnan is a bioinformatician with nine years of experience developing and maintaining automated NGS analysis pipelines and applying ML to epigenomic datasets at Mount Sinai. Skilled in Python and R, she has hands-on expertise analyzing RNA-seq, ChIP-seq, and ATAC-seq in cluster environments and building reproducible workflows for high-throughput labs. Her work spans collaborative research—from cross-species RBP binding-site conservation and exon-level quantification to differential expression in AML—demonstrating both computational rigor and biological insight. Based in New York and trained with an MS in Bioinformatics, she combines production-focused pipeline engineering with a curiosity for translating epigenetic patterns into testable hypotheses.
9 years of coding experience
4 years of employment as a software developer
Master of Science (MS), Bioinformatics, Master of Science (MS), Bioinformatics at Indiana University–Purdue University Indianapolis
Bachelor's degree, Biotechnology, Bachelor's degree, Biotechnology at SRM University
Contributions:39 pushes, 1 branch in 4 years 11 months
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