Selected applied projects and research on behavior, health, education, decision-making, and data-driven product work.
My work uses data to understand human behavior and support better decisions, from digital health and education interventions to predictive modeling, product systems, and academic research. These projects combine applied analytics, behavioral science, and clear communication.
Analyzed unsolicited SMS replies from adults over 60 to understand attitudes toward RSV vaccination and identify behavior-change signals that could improve digital outreach.
Built county-level predictive models combining pesticide use, cropland, and public health data to identify regions with elevated asthma and COPD burden.
Built an MVP Chrome extension to help veterans translate military experience into civilian job matches using profile data, ontology mapping, scoring logic, and LLM-assisted …
Classroom learning conditions can serve as actionable early indicators of later math outcomes, helping educators intervene sooner.
fMRI and RSA on how mindsets shape neural representations of food rewards.
Neuroimaging and multimodal markers of adolescent self-regulation and substance use risk.