Martin Lukac is an LSE Fellow in Computational Social Science in the Methodology Department at the London School of Economics. He is working towards his PhD in Sociology at KU Leuven where he also studied MSc in Statistics and MSc in Social Policy Analysis. Before starting his PhD, Martin worked as a Data Scientist at IBM. For more information, see https://mblukac.github.io.
Martin’s methodological research interests focus on latent variable modelling, causal inference with observational and experimental data, social network analysis, agent-based modelling, and survey methodology.
His applied research revolves around labour market inequalities, online labour market platforms, and skill use—especially in context of digitalisation and automation. His is interested in using tools from complexity systems science to generate new insights and understanding of ongoing labour market processes. Martin also worked on welfare attitudes in Europe.