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 |
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