Keerthi Sannareddy is an experienced bioinformatician with a decade of hands-on work analyzing genome-wide sequencing data across leading research institutions in the US and UK, and currently pursuing a Dr.rer.nat at Medizinische Hochschule Hannover. She blends strong computational skills in C, Python, R and shell scripting with web technologies and MySQL to build and maintain reproducible NGS analysis pipelines for RNA-seq, ChIP-seq, exome and targeted sequencing. Keerthi has a track record of translating complex computational results to wet-lab collaborators, having supported cancer, developmental and population genomics projects at Cambridge, Imperial and Chicago. Her background includes methodological work on GWAS pleiotropy and single-cell quality assessment, reflecting both practical pipeline engineering and deeper statistical thinking. Based in Hanover, she pairs academic rigor from a MS in Bioinformatics (University of Michigan) with pragmatic software craftsmanship developed over multi-institutional sequencing facilities.
10 years of coding experience
6 years of employment as a software developer
Master of Science, Bioinformatics, Master of Science, Bioinformatics at University of Michigan
Jawaharlal Nehru Technological University Hyderabad
Contributions:2 pushes, 1 branch in 1 year 6 months
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Keerthi Sannareddy - Bioinformatician And Candidate To Dr.rer.nat