TR: Hirbod is a risk management academic and practitioner with over a decade of experience linking mathematical/statistical modelling, insurance and particularly commodities. Since 2013 he has been a university academic in the UK and Ireland, publishing more than 40 papers and book chapters. He holds dual PhDs in Financial Mathematics and Financial Economics (University of Montreal, Concordia University, respectively). He serves on the advisory board of Agriculture Finance Review and is editor of the Springer volume Quantitative Risk Management in Agricultural Business (2025), the first book devoted entirely to this field [Book]. His research in the past was funded by the Society of Actuaries and the Canadian Derivatives Institute, has produced a UK REF impact case [Impact case], evidencing concrete influence on insurance and agrifood practice. Hirbod has repeatedly turned research into operational risk engines and commercial products:
Dr. Hirbod Assa
University College Dublin
Translational Researcher
Last updated:
Research Themes:
Sustainability & Environmental Management
Research Programmes
AgriFuTech
An AI genomic prediction engine that learns directly from complex, noisy datasets to deliver reliable trait predictions across crops and environments.
AI-Driven Energy Prediction and Workload Placement
Predicts the energy a computing workload will use before it runs, helping data centres cut costs, reduce emissions and meet EU reporting rules.
AI-Sprayer
A chemical-free precision weeding, fertigation and irrigation platform for organic farms, using computer vision to target hot water at individual weeds.
