Since completion of graduate school, Andrew has been the lead data scientist on several unique public health and clinical topics. Some of these topics have included quantifying the differences in public versus private health service provisions in the developing world, estimating the risk of homicide and suicide as a result of firearms-related violence, determining the effect of community-engaged interventions on activity and health in U.S. school children, predicting clinical outcomes for encephalitis patients, evaluating the effectiveness in a mental health service delivery programme for chronic inebriates, and pooling the effects of early treatment on HIV transmission and disease progression, among other topics. Additionally, he has published and performed numerous analyses employing newer sampling strategies to better assess how an individual’s social network can impact their high-risk behaviours and subsequent poor outcomes. But his research has expanded beyond medicine and public health; he has also been the principal investigator for studies of retention in the U.S. military, and a number of other military- or operations research-related topics. Beyond his involvement as the primary analyst for various topics, through his collaboration with various research groups, he has developed a keen interest in a number of questions regarding methodology. In particular, we often use disease surveillance data to identify gaps in health care delivery and effectiveness in health policies. Often these approaches are affected by the cross-sectional nature of many surveillance systems. He is interested in the application of alternative approaches to evaluating HIV care continuum data rather than the standard cross-sectional approach as described by international health governing bodies. Additionally, Andrew has an interest in evaluating the application of meta-analytical techniques in unique scenarios. For example, he is interested in the application of meta-analytical approaches to evaluating studies of animal models as they typically have very small sample sizes. He would also like to explore the implications and limitations of applying traditional meta-analytical techniques to reviews of reviews. A non-methodological research area of interest for Andrew is the study of infectious diseases. He has been involved with dozens of studies exploring various infectious diseases and looks forward to continuing to contribute to the field. Just as infectious diseases can spread through communities, he is also interested in the spread of violence and the access to firearms. In particular, he has spearheaded a number of studies evaluating the risks of violence perpetration, violent self-harm, and the role of firearms. Lastly, Associate Professor Anglemyer is personally interested in the pedagogy of teaching statistics, data analytics, and study methodology. His approach to teaching has changed over time as he has learned what works for some students and what does not. Understanding the important roles different teaching mediums have on understanding the pragmatic applications of statistical inference remains a primary interest.