Parastou Kohvaei is a computational scientist and research associate with 14 years of experience applying applied computer science to small-molecule drug discovery, specializing in end-to-end analysis pipelines for proteomics and transcriptomics. She builds production-ready R and Python workflows that handle QC, preprocessing, statistical dose–response analysis, and tailored visualizations to support data-driven decisions in industry settings. Comfortable owning projects from concept to delivery, she brings hands-on machine learning experience for extracting biological insights from large-scale omics datasets. Based in Munich, she excels at translating complex analyses into actionable recommendations for cross-functional teams and has a track record of implementing internal pipelines that streamline research workflows. An often-overlooked strength is her balance of rigorous computational design with clear stakeholder communication, enabling faster uptake of analytical results into R&D.
14 years of coding experience
3 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at The University of Freiburg
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