Summary
Xiaowei Song is a Senior Data Warehouse Analyst and research statistician with 14 years of experience bridging biomedical research and large-scale data engineering. Based in Maryland, Xiaowei combines neuroimaging expertise (MSc, Beijing Normal University) and deep domain experience in MRI/cryoEM with practical skills in mathematical modeling, bioinformatics, and Matlab to extract scientific insight from complex datasets. At NIDA and General Dynamics Information Technology they translate research questions into reproducible analytics and robust data pipelines, supporting both exploratory science and operational reporting. Comfortable in both lab and production contexts, Xiaowei has a track record of moving methods from neuroimaging research into scalable statistical workflows. Their GitHub interests emphasize machine learning, big data, and healthcare applications, signaling a focus on applied ML for biomedical problems. Colleagues note an uncommon combination of rigorous scientific training and hands-on data engineering that accelerates translational research.
14 years of coding experience
5 years of employment as a software developer
Master, Neuroimaging, Master, Neuroimaging at Beijing Normal University
Spanish