seminar

This seminar provides practical skills for incorporating AI tools into the research process empowering researchers to save time and improve their research workflow. It is designed to benefit researchers at all levels and addresses key stages of the research workflow. The session features live demonstrations of essential tools, showcasing workflows that span from problem definition to dissemination.

Forecasting for Social Good opening at University of Oxford

Forecasting for vaccine supply chain, a presentation in the Forecasting for Social Good workship at University of Oxford

This presentation summarise my projects with organisations that involve forecasting, machine learning and modeling.

We discuss the perfromance of temporal aggregation approaches and examine the association between the original time series features and the performance of temporal aggregation approaches using machine learning

We discuss the perfromance of temporal aggregation approaches. We assess the forecast combination of temporal aggregation and investigate how temporal aggregation affects time series features. We examine the association between the original time series features and the performance of approaches using machine learning