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My research lies at the intersection of decision science, experimental economics, and computational social science. I am especially interested in belief formation and belief updating failures in endogenous information environments, and how biased beliefs shape outcomes such as political polarisation, extremism, or cooperation.

Methodologically, I combine theory-guided experiments with formal modelling and computer simulations to identify mechanisms and evaluate corrective interventions.

I am committed to open science and research transparency. I routinely preregister experimental designs and share data, code, and replication materials. I have been involved in multiple large-scale replication and computational reproducibility projects in economics and political science.