Data Analysis Training for Environmental Health Research

An R package implementing Principal Component Pursuit for pattern recognition in environmental health.

🌼 Collection of materials to accompany the R25 funded "Data Science for Environmental Health" short course

UC Berkeley ESPM C167 Spring 2021

Time series forecasting of seasonal water quality using Auto ARIMA, SARIMA, and VAR models. Predicts CCME Water Quality Index (WQI) using physicochemical parameters to assess potability across seasons.

DaSEH Course Data

AI-powered environmental health risk detection system using CNN image analysis and RAG-based health guidance.

A working group for health practitioners looking to contribute their expertise, take action, & solve the climate change program.

End-to-end analysis of global PM2.5 air pollution and air-pollution-attributable mortality using WHO data, with interactive Power BI dashboards and Python-based EDA.

Multi-temporal environmental health exposure assessment for Khordha and Cuttack districts, Odisha. Sentinel-2 LULC, PCA-weighted composite index (heat, green access, blue proximity, air quality, industrial exposure), spatial statistics, scenario-based green-blue intervention modelling, and ML-driven urban typologies.

Zephyr is an environmental health monitoring app built for the 9th CASSINI Hackathon that transforms satellite data into personalized health advice

Hypothesis Intrinsic Autism and Immune-Mediated Neurodevelopmental Disorders

Étude exploratoire du lien entre les décès hebdomadaires et la chaleur observée (i.e. températures estivales) à Montréal et Laval.

BreathySync is an AI-powered respiratory health platform that uses 6-second voice samples to generate lung metrics, predicts risks 24–48 hours ahead with a Digital Twin model, and integrates air quality tracking, sleep monitoring, Lung Gym, and ABHA support.

AI-Enabled-AQI-HealthPredictor is an initiative to translate environmental data into meaningful health predictions. By connecting AQI data to health risk modelling, the tool bridges a gap between raw environmental metrics and actionable insights for decision-makers or end-users.

The archive for data, scripts, and outputs for the paper "Exposure to antibacterial chemicals is associated with altered composition of oral bacteria; the RHINESSA study, Bergen, Norway".

Air-quality analysis of scrap-tire animal singeing sites in Ghana—PM2.5/PM10/CO/SO₂/VOCs—using LME, GAM, and quantile models with WHO guideline checks.

An automated research tool using LLMs to convert natural language topics into standardized MeSH queries for PubMed.