Ernesto Carrella is a Senior Data Scientist based in Oxford with 13 years of experience building agent-based models and applying quantitative methods to retail, supply chain and environmental problems. He moves fluidly between research and industry—leading an EU Horizon-winning project on food consumption and waste, coding fisheries and urban-scale simulations in Java (and occasionally Dart), and now delivering data and gen-AI solutions at Tesco. Ernesto holds a PhD in Computational Social Science and a background in economics, which he leverages to blend cybernetics-informed theory with pragmatic data analysis. He’s equally comfortable designing complex simulations to probe systemic risks and shipping production-ready analytics that improve distribution and retail outcomes. Notably, his work often turns abstract economic ideas into executable, policy-relevant models rather than just visualizations.
13 years of coding experience
5 years of employment as a software developer
MS Economics, MS Economics at University of Illinois Urbana-Champaign
PHD Computational Social Science, PHD Computational Social Science at George Mason University
Contributions:3 commits, 2 pushes, 1 branch in 1 year 10 months
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