Aswathy Sebastian is a Bioinformatics Data Scientist with over a decade of hands-on experience delivering end-to-end analysis of high-throughput sequencing projects, from raw reads to statistical interpretation and publication-ready figures. Based at Penn State and pursuing a PhD in Bioinformatics, she builds reproducible, scalable workflows in Python, R and Bash for RNA-seq, ATAC-seq, CUT&Tag, TT-seq, ribosome profiling, genome assembly, and variant calling. Her career spans plant and protein genomics to large-scale transcriptomic studies, giving her a knack for translating diverse experimental questions into robust computational solutions. She routinely collaborates with faculty and trainees, contributes methods and results to grants and peer-reviewed papers, and provides training on data analysis best practices. Notably, she combines deep domain expertise with practical data management at a university sequencing core, ensuring analyses remain reproducible and production-ready.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science Computational Science, Bachelor of Science Computational Science at Mahatma Gandhi University
Doctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at Penn State University
Master of Science Bioinformatics, Master of Science Bioinformatics at Georgia Institute of Technology
Master of Science Bioinformatics, Master of Science Bioinformatics at Madras University
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