water quality Archives - Dahdaleh Institute for Global Health Research /dighr/tag/water-quality/ Effectiveness, equity, and excellent in global health. Fri, 07 Nov 2025 21:19:25 +0000 en-CA hourly 1 https://wordpress.org/?v=6.9.4 Michael De Santi /dighr/person/michael-de-santi-2/ Fri, 07 Nov 2025 21:15:12 +0000 /dighr/?post_type=person&p=15088 Michael is a PhD candidate in the Department of Civil Engineering at the Lassonde School of Engineering. Michael works as a modelling researcher on the Safe Water Optimization Tool (SWOT) project at the Dahdaleh Institute, where he is developing new modelling tools to predict water quality in refugee and internally displaced person settlements. His PhD […]

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Michael is a PhD candidate in the Department of Civil Engineering at the Lassonde School of Engineering. Michael works as a modelling researcher on the Safe Water Optimization Tool (SWOT) project at the Dahdaleh Institute, where he is developing new modelling tools to predict water quality in refugee and internally displaced person settlements. His PhD dissertation is focused on integrating machine learning and health risk models to enable real-time health risk assessment from operational water quality data in a variety of emergency and humanitarian contexts.

Prior to joining the SWOT team, Michael obtained a BASc in civil engineering from the University of Toronto and worked for several years as a water design specialist. His current research focuses on developing holistic tools for assessing water safety risk in humanitarian response settings.

Previously, Michael was a Dahdaleh Global Health Graduate Scholar with the Dahdaleh Institute.

Research Keywords

Machine Learning; Water Quality; Drinking Water; Crisis Affected Populations; Quantitative Microbial Risk Assessment

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Ali Rezaei /dighr/person/ali-rezaei/ Mon, 03 Nov 2025 18:23:30 +0000 /dighr/?post_type=person&p=15048 Ali Rezaei is a Research Assistant and Machine Learning Engineer at the Dahdaleh Institute for Global Health Research focused on retrieval-augmented generation for the Safe Water Optimization Tool. He builds end-to-end pipelines to ingest guidelines, field reports, and water-quality datasets, creates domain embeddings, and implements retrieval, reranking, and grounding so model outputs are traceable to […]

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Ali Rezaei is a Research Assistant and Machine Learning Engineer at the Dahdaleh Institute for Global Health Research focused on retrieval-augmented generation for the Safe Water Optimization Tool. He builds end-to-end pipelines to ingest guidelines, field reports, and water-quality datasets, creates domain embeddings, and implements retrieval, reranking, and grounding so model outputs are traceable to sources. His work includes evaluation for factuality and latency, prompt and system design, and secure deployment in local and cloud environments. Ali collaborates with public-health and field partners to translate model outputs into operational recommendations and maintains clear documentation for reproducibility. He is completing a BSc Honours double major in Computer Science and Neuropsychology at 91راة« under Dr. Syed Imran Ali.

Research Keywords

Safe Water Optimization Tool; WASH; humanitarian response; water quality; chlorination; predictive modelling; time-series analysis; machine learning; large language models; decision support; public health; global health; 91راة«; Dahdaleh Institute

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