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A pedagogical calculator for the wet lab: solution mass, solution volume, dilution, serial dilution, cell counting and cell seeding. Rather than returning only a number, every calculator states the formula, substitutes the user’s own values with units carried through each line, walks the arithmetic step by step, and draws a live diagram — a filling flask, dot-density beakers, or a well-plate mixing bar. Automatic unit conversion across M / mM / µM / nM and L / mL / µL, a one-click worked example, and reproducible R, Python and plain-text protocol export.

An offline-first revision app (PWA) for STAT 481 — Multivariate Analysis at Qatar University (Fall 2026). Every card, formula, R snippet and question is extracted automatically from the course LaTeX notes and carries a stable reference back to the file and line it came from, so nothing is paraphrased. Leitner spaced repetition, a searchable formula index, verbatim R output, timed practice exams that unlock only after the paper has been sat, and 56 course figures — all installable, fully offline, with every keystroke of progress kept on the student’s own device.

An offline-first revision app (PWA) for STAT 312 — Stochastic Processes at Qatar University (Fall 2026): a live semester timeline, per-stage revision hubs, spaced-repetition flashcards, an interactive practice-quiz engine built from the Fall 2026 sample quizzes, a searchable formula sheet, and an FAQ. Installable on phones, works fully offline — no backend, no accounts, all progress stored in the browser.

An interactive dashboard of the 2026 French municipal elections (rounds of 15 and 22 March 2026). Official Ministry of the Interior results, aggregated from the polling-station level to the 96 metropolitan departments, are mapped with Leaflet and explored by political bloc and party. Built in R (tidyverse, sf) with a static HTML/JS front end deployed on Netlify.

An interactive companion dashboard for Al-Khinji et al. (2026), Frontiers in Medicine — a Qatar Biobank study of hematological abnormalities in non-alcoholic steatohepatitis (NASH). The app lets the reader explore the cohort, recompute sex-stratified CBC reference limits, and reproduce the group-comparison results of the paper directly from the browser.

A teaching-focused, browser-only workbench for one-way analysis of variance: load a CSV, choose a factor (2–6 levels) and one or more continuous responses, and read the ANOVA table, the compact-letter-display (CLD) summary from Tukey HSD, and a forest plot of pairwise mean differences. Companion to StatTests, StatRegress, and StatTables — runs entirely client-side, no data leaves the browser.

An interactive teaching tool for Principal Component Analysis: paste or upload a numeric dataset and the app reports the eigen-decomposition of the (correlation or covariance) matrix, the scree plot, the cumulative variance explained, the score and loading matrices, and a coordinated biplot. Companion to StatTables, StatTests, StatRegress, StatCI, StatPower, and StatCorr — runs entirely in the browser, no backend.

An interactive teaching tool for the correlation coefficient: paste a bivariate dataset (or use a generator), and the app reports Pearson, Spearman, and Kendall coefficients with their inference, the scatter plot, and a Fisher-$z$ confidence interval for $\rho$. Companion to StatTables, StatTests, StatRegress, StatCI, and StatPower — runs entirely in the browser, no backend.

An interactive teaching tool that draws many samples from a chosen population, builds a confidence interval from each, and shows visually how often the intervals actually cover the true parameter — curing the 95% confident misconception. Companion to StatTables, StatTests, StatRegress, and StatPower; runs entirely in the browser, no backend.

An interactive teaching tool for study design — pick a hypothesis test, enter any three of ${$effect size, $n$, $\alpha$, power$}$, and the app solves for the fourth and plots the power curve. Companion to StatTables, StatTests, StatCI, and StatRegress; runs entirely in the browser, no backend.