Summary
Yasaman Rezvani is a Bioinformatics Scientist II with eight years of experience translating complex NGS and multi-omics datasets into actionable insights for preclinical and translational research. She has deep expertise in bulk and single-cell RNA-seq, ATAC-seq, CUT&RUN, and DNA methylation analyses, and builds reproducible, version-controlled pipelines in R and Bash for HPC environments. Her work spans biomarker discovery, safety assessment of CRISPR-based epigenetic editors, and support for regulatory submissions, reflecting a strong track record in industry settings including Merck, AbbVie, and nChroma Bio. Trained as a computational scientist (PhD) and rooted in computer science, she combines rigorous statistical and machine learning approaches with practical pipeline engineering to drive therapeutic development. An often overlooked strength is her ability to integrate donor-diverse multi-omics to reveal subtle off-target and immunological signals that inform safer, more targeted interventions.
7 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Azad University (IAU)
Doctor of Philosophy - PhD, Computational Science - Bioinformatics Track, Doctor of Philosophy - PhD, Computational Science - Bioinformatics Track at UMass Boston