Douglas Alem

Douglas Alem is a Senior Lecturer in Business Analytics and Programme Director of the MSc Data & Decision Analytics (online) at the University of Edinburgh Business School. His research bridges Management Science and Humanitarian Logistics, focusing on optimization under uncertainty.

• Production Engineering (BSc), Federal University of São Carlos, Brazil (2004)
• Computer Science & Computational Mathematics (MSc), University of São Paulo, Brazil (2007)
• Computer Science & Computational Mathematics (PhD), University of São Paulo, Brazil (2011)

His research addresses practical operations planning in humanitarian contexts: distributing emergency commodities, location-allocation under social concerns, and supply chain design across disaster cycles. Key methodologies include stochastic programming and robust optimization.

Recent publications analyze lot-sizing in beverage production, malaria prevention campaigns, and road restoration logistics. His work emphasizes practical disaster management applications and equity considerations.

• Best European Journal of Operational Research paper (innovative application), 2018
• Best Paper Awards - European Journal of Operational Research, 2023

As a Principal Investigator, he leads projects like FAVuPe (Food Analytics for Vulnerable Populations) and socioeconomic-based disaster response frameworks. He also advises PhD students in data analytics for humanitarian operations and contributes to consultancy on waste management and risk mitigation.