I enjoy collaborating with organisations that wish to apply artificial intelligence (AI) to their digital assets. With a PhD in mathematics from Oxford University and track record of undertaking cutting-edge research and teaching at leading universities, I take a multidisciplinary approach to addressing real-world challenges and implementing solutions. My expertise relates to the development of quantitative techniques and analytics to extract information, communicate insights, automate decision-making, manage risk and support intelligence, policy and strategy.I advise national and international government agencies, foundations, NGOs and private sector firms on developing strategies for data analytics within the finance, insurance, agriculture, energy, telecoms, environment, education and healthcare sectors. My research focuses on artificial intelligence, machine learning, data science, big data, forecasting, predictive analytics and the analysis of human behaviour. Examples of AI applications include the following:Credit scoring: predicting the probability of default based on demographics, transactions, income and repayment patternsInsurance claims: quantifying the drivers of financial losses from adverse events such as weather extremes and pandemicsEconomic growth: utilising satellite imagery to reconstruct subnational economic outputPoverty estimation: predicting multidimensional poverty using mobile call records and satellite imagery Demand forecasting; predicting future demand from collective groups of customers at multiple forecast horizons Customer segmentation: development of clustering algorithms for extracting customer profilesQuantitative trading: construction of financial trading algorithms Renewable energy: predicting power generation from wind and solar