About Me

Hi! I'm Ionatan, a postdoc at Princeton working with Tom Griffiths. I study how people make decisions and plan sequences of actions in complex environments by building computational models of human behavior.

Previously, I earned my Ph.D. in neuroscience at NYU with Wei Ji Ma and my B.A. in neuroscience, computer science, and mathematics at Macalester College. My undergraduate honors thesis was advised by Andrew Beveridge. In my free time, I'm usually traveling or hiking for landscape photography, hosting an anime podcast, or playing soccer, basketball, or tennis.

My dissertation outlined a framework for studying the cognitive mechanisms underlying complex planning by applying computational methods to human decisions in a combinatorial game where participants think multiple steps into the future.

Representative Papers

  • I Kuperwajs, MK Ho, and WJ Ma (2024). Heuristics for meta-planning from a normative model of information search. PsyArXiv. [pdf]
  • I Kuperwajs, HH Schütt, and WJ Ma (2023). Using deep neural networks as a guide for modeling human planning. Scientific Reports. [pdf]
  • B van Opheusden, I Kuperwajs, G Galbiati, Z Bnaya, Y Li, and WJ Ma (2023). Expertise increases planning depth in human gameplay. Nature. [pdf]
  • I Kuperwajs and WJ Ma (2022). A joint analysis of dropout and learning functions in human decision-making with massive online data. CogSci. [pdf]