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Geospatial · Environmental health

EnvironMax

Turning live environmental data into personal health guidance.

Role
Lead researcher & developer
Period
2018 – 2021
EnvironMax risk-assessment results across an urban area
Risk-assessment results across the urban area.

EnvironMax integrates multi-source, real-time spatial data to compute where environmental health risk is highest and to route people around it. Dynamic risk models translate raw sensor and trajectory data into guidance a resident can act on.

The work produced sustained, high-impact research: a paper in Urban Climate (Q1, IF 6.4) and earlier work in Science of the Total Environment (Q1, IF 9.8), one of the most cited venues in environmental science.