Farzaneh Khajouei is a Senior Computational Scientist at the Broad Institute with 11 years of experience translating statistical theory and probabilistic models into production-ready genomics pipelines. She holds a Ph.D. in Computer Science from UIUC and has led pipeline development teams, coordinating interdisciplinary projects that bridge researchers, software engineers, and project managers. Her research expertise spans single-cell genomics, gene expression modeling, and SNP effect prediction, including developing Bayesian and graphical models applied to GTEx and Drosophila data. At Broad she designs cloud-native pipeline architectures and mentors junior computational staff while acting as a go-to consultant for quantitative experimental analysis. Beyond leadership, she combines deep mathematical training with hands-on tool development, routinely turning complex biophysical models into actionable computational workflows.
11 years of coding experience
2 years of employment as a software developer
University of Illinois Urbana-Champaign
Bachelor of Science (BS), Electrical, Electronics and Communications Engineering, Bachelor of Science (BS), Electrical, Electronics and Communications Engineering at Sharif University of Technology
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