Dr. Alan Sim is an epidemiologist with extensive experience in population health informatics and translational data science. He has approximately 20 years of experience with healthcare data management, analysis, public health informatics, and data science with organizations such as MD Anderson Cancer Center, Centers for Disease Control and Prevention (CDC), US Air Force, and Defense Health Agency. Dr. Sim serves as the interim section chief for data discovery and research with the Enterprise Intelligence and Data Services (EIDS) PMO within the Defense Health Agency (DHA) under the Department of Defense (DoD). In this role, he leads and manages a team of analysts, statisticians, and data scientists to apply innovative predictive and big analytic techniques (e.g. Clustering, Decision Trees, Random Forest, Support Vector Machine, etc.) to support operational and research studies within the Department of Defense (DoD) as well as external academic partners. The team leverages multiple languages and platforms including SAS, Teradata/Aster, SQL, R, and SAS Enterprise Miner (EM) and provides data and analytical services for a wide variety of research topics/projects including opioid misuse, polypharmacy, transition of care (DoD to VA), HEDIS, patient centered medical home, patient satisfaction and access to care, and long-term chronic disease health outcomes associated with combat injuries among others. Dr. Sim is responsible for providing the vision and defining goals of the research section including the creation of a health statistics service for the Military Health System, develop and apply big data analytics functions and machine learning techniques, promote data science education and learning, and support major research initiatives for multiple clients.