
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 York University 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; York University; Dahdaleh Institute
Themes | Global Health & Humanitarianism |
Status | Active |
Related Work | |
Updates |
You may also be interested in...
AI4PEP Showcases Climate-Resilient Health Innovations at V Global Conference on Health and Climate
The AI4PEP Network (Global South Artificial Intelligence for Pandemic and Epidemic Preparedness and Response) was spotlighted at the V Global Conference on Health and Climate, held from July 29–31, 2025 in Brasília, Brazil. Hosted by ...Read more about this Post
Internship Program: Summer 2024 in Review
This summer, the Dahdaleh Institute has worked with wonderful students through our dynamic, experiential education Global Health Internship Program. The program offers students the ability to contribute to exciting research projects by working on literature reviews, ...Read more about this Post
Advanced Disaster, Emergency and Rapid Response Simulation
The Victor Phillip Dahdaleh Advanced Disaster, Emergency and Rapid Response Simulation (ADERSIM) Lab, is a cutting-edge, multi-function infrastructure that serves as a research and training hub and an advanced Emergency Operations Centre (EOC). Officially opened in ...Read more about this Project
