Research

Behavioral and organizational economics with a quantitative lens

My academic work studies incentives, motivation, social preferences, reference-dependent choice, and organizational design. Current work connects these themes to predictive modelling and machine learning benchmarks.

Research areas

Incentives and motivation

How wages, missions, and organizational design shape effort, selection, and behavior in work environments.

Behavioral choice

Models of social preferences, bounded rationality, reference dependence, and indecisive choice behavior.

Predictive evaluation

Using statistical and machine learning benchmarks to assess the explanatory reach of economic theories.

Current agenda

Current research agenda

Current projects evaluate the predictive completeness of social preference theories using machine learning benchmarks and study frequency-report scoring rules for belief elicitation, asking what can be inferred from discrete reports under different scoring-rule designs.

View publications and working papers

Research output

4 Journal publications
3 Main fields
60+ Theses supervised