Mike Dolan Fliss worked in public health informatics, epidemiology and clinic management at county and state level since 2010. He graduated from Duke University (2003) with a double major in computer science and philosophy, from UNC-CH with a Master of Social Work (2009) with a concentration in management and community practice, and most recently a Master of Biomedical & Health Informatics (2018) and a PhD in Epidemiology at UNC Chapel Hill (2019).

His current work is in social, injury, environmental, and spatial epidemiology, and includes projects in opioid overdose, the tobacco / alcohol retail environment and policy change, violent deaths, child maltreatment, industrial animal farms, disparities in policing, and public health informatics. He has technical experience in causal inference, statistics, data analysis, data science, machine learning, data visualization, web & database design, prediction, classification, cluster detection, workflow automation & reporting, text mining, EHR implementation, data linkages, and user interface design. He has business experience in nonprofit management, budgeting, public speaking, anti-oppression organizational change, supervision, and volunteer management. He is familiar with over a dozen statistical languages and programming tools, including being expert-level in R, HT/XML, QGIS, and Tableau; proficient in SAS, SQL, ArcGIS, CSS, JavaScript, LaTeX, VBA, and UML; novice in Python, D3, Orange, Weka, KNIME, and Data Miner.

He’s excited to continue combining his diverse training in computer science, data science, informatics, and epidemiology to drive improved public health outcomes and reduced disparities.