A behavioral economist, Po-Hsuan Lin uses a combination of theory and experiments to study bounded rationality in strategic environments. His theoretical work contributes to behavioral game theory, currently focusing on developing behavioral solutions such as the dynamic cognitive hierarchy solution and the cursed sequential equilibrium. His experimental research is closely tied to his theoretical work, exploring key methodological questions in experimental game theory. 

Lin’s research has been funded by a National Science Foundation doctoral dissertation improvement grant. His “Cognitive Hierarchies for Games in Extensive Form” paper won the California Institute of Technology’s John O. Ledyard Prize for Graduate Research in Social Science and was recently published in the Journal of Economic Theory. 

Lin earned his bachelor’s degree in economics with a minor in mathematics from National Taiwan University in 2016. After that, he joined MobLab as a data science research intern for a year before attending the California Institute of Technology. He received his Ph.D. there in social science in 2024. 

This year, Lin will be teaching graduate-level courses in experimental economics.