Who am I

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.

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PhD Research

Forecasting Improvements in Global Healthcare Supply Chains

Overall Aim

To introduce a novel forecasting and inventory management approach to tackle uncertainties in data and demand. By integrating innovative probabilistic forecasting with a robust inventory framework, this project aims to minimize stockouts and ensure consistent availability of essential health commodities in developing countries.

Funder & Collaborators

This research was proudly funded by the Welsh Graduate School for the Social Sciences (WGSSS) and carried out in collaboration with the Data Lab for Social Good Research Group at Cardiff University and USAID.

Supervision & Collaboration Team

• 
  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