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Published on June 20, 2025
This past month, Dahdaleh Global Health Graduate Scholar, Michael De Santi, presented his newest research “ML-QMRA: A novel machine learning tool for linking water quality to health risk in humanitarian contexts” at the European Geosciences Union (EGU) General Assembly and at the Emergency Environmental Health Forum (EEHF). This research presents a new modelling approach to forecast health risks from drinking water based on routine water quality data using a combination of machine learning and quantitative microbial risk assessment.
The EGU General Assembly, held from April 27-March 2, 2025 in Vienna, Austria, brought together over 18,000 researchers and scientists from 104 countries. Michael presented his work in the “Digital water and interconnected urban infrastructure” session on May 1st.
EEHF, held May 14-16 in Geneva, Switzerland is an annual conference which brings together leading practical research humanitarian water, sanitation, and hygiene. Michael presented to practitioners, researchers, and funders in humanitarian response in the session “Safe Water in Crisis: Monitoring, Technology, and Sustainability in Humanitarian WASH”.
Themes | Global Health & Humanitarianism |
Status | Active |
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