Summary
Alexander Muratov is a data scientist and leader with 10 years of experience applying machine learning to genomics, astrophysics, and computer vision, now driving strategic analytics at Amazon Logistics. He has led cross-functional teams to deliver cloud-native AI products, including a cancer diagnostics platform whose models surpassed traditional cytogenetic methods, and built production genomics pipelines and interactive visual browsers on AWS. His research pedigree—PhD in Astronomy & Astrophysics and postdoctoral work processing 50+ TB simulation datasets—underpins a rigorous approach to scalable modeling and simulation-driven training that cut development cost by 1000x in one project. Alexander blends deep domain expertise with hands-on engineering (deep learning, ensemble frameworks, deployment) and a track record of patented methods and high-impact publications. Based in Seattle, he’s known for translating complex science into reliable, production-ready systems and for mentoring teams to turn research innovations into commercial products.
10 years of coding experience
7 years of employment as a software developer
Professional & Continuing Education Certificate, Data Science, Professional & Continuing Education Certificate, Data Science at University of Washington
Doctor of Philosophy (PhD), Astronomy and Astrophysics, Doctor of Philosophy (PhD), Astronomy and Astrophysics at University of Michigan
Bachelor of Arts (B.A.), Physics and Astronomy, Bachelor of Arts (B.A.), Physics and Astronomy at Northwestern University
English, Russian