Interactive dashboards, atlases, web apps, games, open-source R packages, and reproducible research applications built to support public health analytics and data science.
An interactive web atlas that brings climate and public health data for Bangladesh together in one place, making it easier to explore spatial patterns and climate-health relationships. Built to complement published research on climate-sensitive diseases.
DaySpace is a lightweight web app for planning and organizing daily activities. It runs entirely in the browser, with no installation required.
A collection of simple games that run right in your browser — a lighter side of the digital lab.
A custom R package designed to help researchers and analysts identify the best-fit statistical distribution for their data. whatdis() automates distribution testing, fitting, and visualization — removing guesswork from exploratory data analysis and improving downstream modeling decisions.
An interactive web-based dashboard for analyzing dengue fever trends across Bangladesh using spatial and temporal visualization. Supports district-level early warning insights, climate-disease correlations, and outbreak pattern detection — built to complement published dengue research.
A web-based research tool designed for efficient systematic review management. Supports literature screening, study filtering, data extraction, and PRISMA-based flowchart generation — enabling transparent and reproducible evidence synthesis for health research.