Brandon Oselio is a seasoned data scientist with a strong academic background, including a Ph.D. in Electrical Engineering: Systems and an MS in Statistics, both obtained from the University of Michigan. Oselio's professional experience includes roles as a Senior Data Scientist at SFL Scientific and Google, where responsibilities focused on delivering machine learning models and enhancing business outcomes through data-driven insights. Previous experience encompasses a postdoctoral research position at the University of Michigan, where state-of-the-art methodologies for time-varying networks were developed, as well as internships at MIT Lincoln Laboratory and the Air Force Research Laboratory, where skills in anomaly detection and temporal interaction analysis were applied.