Summary
Shobeir Fakhraei is a Machine Learning Researcher with 13 years of experience applying advanced ML, graph mining, and representation learning to biomedical and health informatics problems. Based in Seattle, he blends rigorous research with software engineering to build scalable solutions for recommender systems, link prediction, entity resolution, and knowledge graph integration. His work spans deep learning, statistical relational learning, and network science, often focusing on multi-relational graph embeddings and predictive analytics. As a senior applied ML scientist and science manager, he pairs hands-on modeling with team leadership to translate complex data into actionable insights. A detail that sets him apart is his consistent focus on combining information extraction and integration techniques to make heterogeneous biomedical data interoperable for downstream decision-making.
13 years of coding experience