Joseph Jacob is a Data Scientist and Analyst with a passion for explainable and ethical AI. He recently completed his MSc in Applied Data Science (Distinction) at Teesside University, where his research focused on predictive modelling and model interpretability in sports analytics. His paper, “Moving Beyond Chance to Accurately Predict Football Wins with Data-Driven Insights,” was accepted for presentation at DESE 2025 and developed in collaboration with Middlesbrough FC.

Joseph has hands-on experience building analytical dashboards, integrating APIs, and developing predictive models that transform data into strategic insights. His broader interests include fairness in AI, transparency in decision-support systems, and applying explainable AI principles to domains such as fintech and healthcare.