When we talk about Andrew’s research, we start with what it means for the people sitting across from a clinician. His work is driven by a straightforward question: how can we use data and technology to make sure the right care reaches the right people — especially those who have historically been overlooked?
Andrew’s research applies artificial intelligence, machine learning, and geospatial methods to behavioral health and global poverty, grounded in a data justice framework. In practical terms, this means studying how predictive analytics can improve treatment outcomes for people living with addiction, how spatial data can reveal where communities face the greatest unmet need, and how computational tools can be used responsibly — without reproducing the inequities they aim to address. His work has examined overdose prevention, opioid use disorder treatment patterns, and the ways that place shapes access to care and health outcomes.
His published research spans peer-reviewed journals including Sustainable Cities and Society, Addiction Science & Clinical Practice, Information Processing and Management, the ACM Journal on Computing and Sustainable Societies, Socio-Economic Planning Sciences, International Journal of Environmental Research and Public Health, and Frontiers in Psychology, among others.