My Story
I’m a forecasting researcher passionate about using data science and machine learning to tackle real-world problems that matter. My journey started in Sri Lanka, where a foundation in transport and logistics sparked a lasting interest in time series forecasting and supply chain analytics.
Today, I’m a PhD candidate at the Data Lab for Social Good (Cardiff University), where I develop forecasting and decision-support solutions for global health and climate-related challenges. My work focuses on healthcare supply chains, climate-sensitive disease forecasting, and forecasting for social good, with a strong emphasis on real-world impact.
I collaborate closely with organizations such as USAID, the Ethiopian Pharmaceutical Supply Chain Agency, and the HISP Centre at the University of Oslo, translating research into operational tools that improve public health outcomes.
PhD Research Showcase
Research Focus
Developing novel forecasting and inventory management approaches for health commodity supply chains.
Methodology
Integrating advanced probabilistic forecasting models with robust inventory frameworks.
Global Health Impact
Enhancing public health outcomes and supporting data-driven decisions for tangible social good.
Collaborations
Working with influential organizations like USAID, EPSA, and the HISP Center at the University of Oslo.
Funder & Collaborators
This research is proudly funded by the Welsh Graduate School for the Social Sciences (WGSSS) and conducted in collaboration with leading global health organizations.
Supervision Team
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Prof. Bahman Rostami-Tabar (Lead)Professor of Data-Driven Decision Science, Cardiff University -
Prof. Aris Syntetos (Co-supervisor)Professor of Decision Science, Cardiff University -
Dr. Federico Liberatore (Co-supervisor)Senior Lecturer in Data & Knowledge Engineering, Cardiff University -
Glenn Milano (Industry Collaborator)Advisor for Demand Planning and Analytics, USAID