Summary
Mercedeh Movassagh is a Senior Bioinformatics Data Scientist and adjunct Assistant Professor with nine years of experience applying machine learning and NGS technologies to infectious disease, RNA biology, and host–pathogen metagenomics. She blends academic rigor from Yale, Harvard, Dana-Farber and UMASS with hands-on software and package development (Bioconductor tools like mirTarRnaSeq, mbQTL and RNA2DNAlign) to build reproducible pipelines for WGS, TCR-seq, microbiome and GWAS analyses. Her work spans statistical methods, admixture and SNP analysis, and practical R/Unix/Python implementations that have supported studies in neonatal sepsis and post-infectious hydrocephalus. Based in Boston, she balances translational research with product-facing bioinformatics at Sonice Health Care USA, pairing method development with real-world infectious disease and cancer genomics applications. An underappreciated strength is her track record of turning complex NGS metadata (microbiome, ncRNA, SNVs) into usable tools and packages that advance both research and clinical questions.
9 years of coding experience
2 years of employment as a software developer
Postgraduate Degree, Postgraduate Degree at Harvard T.H. Chan School of Public Health
Bachelor's Degree, Biology, Bachelor's Degree, Biology at University of Virginia
Master’s Degree, Biomathematics, Bioinformatics, and Computational Biology, Master’s Degree, Biomathematics, Bioinformatics, and Computational Biology at The George Washington University School of Medicine and Health Sciences
Doctor of Philosophy (Ph.D.), Bioinformatics, and Computational Biology, Doctor of Philosophy (Ph.D.), Bioinformatics, and Computational Biology at University of Massachusetts Medical School