Joel Suss

Joel Suss is a data journalist at the Financial Times and a visiting fellow at the London School of Economics and Political Science (LSE), jointly based in the International Inequalities Institute and the Centre for Analysis of Social Exclusion (CASE). Previously, he served as a research data scientist at the Bank of England.

His academic qualifications include:

• PhD in Psychological and Behavioural Science, London School of Economics and Political Science (2021)

Joel's research focuses on economic inequality measurement at granular spatial levels using computational methods including spatial regression, machine learning, and data visualisation. His work examines inequality's consequences for social behaviors like police stop-and-search patterns and household financial decisions, spanning wealth distribution, inflation experiences, and racial disparities in financial markets.

Recent publications demonstrate a methodological trend toward leveraging large-scale datasets to generate neighborhood-level inequality metrics, with direct applications for poverty policy and social exclusion analysis.

He maintains active research affiliations with LSE's International Inequalities Institute and CASE, contributing to projects on multidimensional poverty frameworks and spatial inequality dynamics.