AWARE is a decision support tool for Avoiding WAste in health REsearch. It allows users to upload studies and assess their value for decision-making. In development.

Clinical decision support for LAI-PrEP bridge period

Alluvial (Sankey) visualization of ADA diabetes guideline concordance using NHANES data, illustrating treatment gaps across patient risk profiles.

Hannah Ostroff James

Official AI ROI Dataset (N=200). Longitudinal analysis of B2B AI deployments (2022-2025). Verified 159.8% median ROI. Peer-reviewed methodology for SMEs/ETIs and Fractional CAIOs.

A digital health data science prototype exploring how contextual signals may predict walking adherence using simulated data.

Immunologically grounded transmission modelling of OPV and IPV strategies for polio control in Papua New Guinea, addressing cVDPV risk, vaccination timing, and policy design in fragile health systems.

Hierarchical cluster analysis of AI implementation barriers among K-12 educators (N=189). Person-centered approach reveals 8 distinct constraint profiles with inverse cost-skill relationship (φ=-.246). JASP for statistics, Python for visualization. Published: DOI 10.5281/zenodo.17519099

A simple digital health prototype for tracking walking behavior patterns.

A responsible AI evaluation prototype assessing simulated health behavior suggestions for safety, feasibility, usability, and personalization.

A digital health prototype for AI-assisted behavior intervention design using transparent, context-aware recommendation logic.