Summary
Nasim Sanati is a computational biologist and AI systems engineer with 11 years of experience applying bioinformatics, graph data modeling, and machine learning to cancer and functional genomics problems. Based in Portland, Oregon, she currently builds graph data models at OHSU Knight Cancer Institute and has led research software and single-cell analysis projects across OHSU, Sage Bionetworks, Genentech, and Phylos. Her work spans production-grade tooling (Docker, cloud environments, R/Python pipelines) and research innovation—such as graph embeddings for protein function prediction and network-based predictors of cancer progression. She has a strong track record in consortium-scale data integration and automation, contributing to projects like Reactome, IDG/CEIT, TESLA, and multiple DREAM challenges. Nasim pairs a formal biomedical informatics master’s background with hands-on engineering, mentoring Google Summer of Code projects and open-source releases. Colleagues describe her as someone who translates complex biological questions into reproducible, scalable software and novel computational hypotheses.
11 years of coding experience
5 years of employment as a software developer
Master’s Degree Biomedical Informatics and Computational Biology, Master’s Degree Biomedical Informatics and Computational Biology at Oregon Health & Science University
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Portland State University
Portland Community College
Persian, English