Tareq Al-Shargabi received his M.S. degree in biomedical engineering from Virginia Commonwealth University, Richmond. His research at the Children’s National Hospital, Washington, D.C., focused on signal processing of physiological signals (i.e., ECG, EEG, blood pressure, and near infrared spectroscopy), to understand physiological processes and systems in infants with conditions such as premature birth, hypoxic-ischemic encephalopathy, and apparent life-threatening event syndrome. He also studied fetal blood vessel responses to oxygenation. Tareq performed data collection and subjects recruitment, and developed interfaces to display physiological signals trends. He purchased and maintained devices for collection of newborn physiological signals. Tareq has a diverse skill set of data analysis techniques that incorporate machine learning, statistical modeling, and data interpretation. His work at NIBIB involves developing dashboards and performing data analysis; he analyzes performance measures for NIH components (i.e. study sections) and scoring methods. He also performs portfolio analysis and presents data in formats to help drive meaningful and understandable action.