Ryan Snead developed an interest for social determinants at George Washington University working with recently arrived Latino immigrants and refugee populations to demonstrate the life-long consequences of environment and trauma on overall well-being. Continuing in his interests, Ryan transitioned to a research role at Johns Hopkins University evaluating home visiting programs and their effect on child welfare. Currently, Ryan works at Temple University to implement and analyze research devoted to helping non-adherent patients overcome their barriers to colorectal cancer screening.
The overarching goal of Ryan’s career is to develop rigorous methodological and analytic applications to lessen the burden of non-communicable disease, more specifically, reducing disparities as a function of distal effects (i.e., neighborhood level and further). In total, Ryan has over seven years of experience as a steward of research in various programmatic and analytic roles. During this period, he has been responsible for the planning and development of intervention programming, survey instrument creation, training, recruitment, data collection, management, processing, analysis, process evaluation and dissemination of findings.
Ryan enjoys his role as a teaching assistant and instructor helping students as they begin their academic journey into epidemiologic methods and biostatistics. Since joining Temple, he has honed a passion for using epidemiologic methods to consider causal inference in observational studies, utilizing publicly available data (e.g., Census, Google Maps), data science techniques and spatial statistics to answer public health problems. Ryan’s doctoral research will use spatial epidemiologic methods to estimate area-level colorectal cancer incidence/mortality risk as it relates to deprivation and access to care.