Summary
Nooshin Omranian is a Senior Computational Biologist based in Berlin with 11 years of experience integrating multivariate time-series and multi-omics data to infer causal molecular networks and predict biological outcomes. Trained as a systems biologist (PhD, University of Potsdam) with an earlier software engineering background, she blends rigorous statistical analysis in R with software engineering skills across Python, Perl, MATLAB and database/web technologies to deliver reproducible pipelines. Her work spans transcriptomics, proteomics and metabolomics, with recent roles developing network reconstruction products, network controllability analyses, and proteomic signatures for therapy response in cancer. She has led product and technical design for multilayer network analysis, applied deep learning to identify keystone species in microbiomes, and quantifies evolutionary and heritability signals to connect population genetics with dynamic system behavior. Notably, she combines practical product ownership and hands-on method development, making her adept at moving computational biology methods from research into production-focused tools.
11 years of coding experience
9 years of employment as a software developer
MS, Computer engineering (software), MS, Computer engineering (software) at Shiraz University
BS, Computer engineering (software), BS, Computer engineering (software) at Islamic Azad University, Shiraz
Doctor of Philosophy (PhD), Systems biology, Doctor of Philosophy (PhD), Systems biology at University of Potsdam