Human decision-making is remarkably efficient. My research investigates both the mechanisms underlying this efficiency and the trade-offs it entails. To measure the cognitive processes and mental representations that support decision-making, I utilize massive naturalistic datasets of complex decisions and employ computational approaches to neuroimaging. I aim to leverage these insights to understand the vulnerabilities in our decision-making, which may play out in mental-health conditions.
Selected Publications
Russek, E. M., Acosta‐Kane, D., van Opheusden, B., Mattar, M. G., & Griffiths, T. L. (2025). Time spent thinking in online chess reflects the value of computation. Cognitive Science, 49(10), e70119.
Kuperwajs, I., Russek, E. M., Mattar, M. G., Ma, W. J., & Griffiths, T. L. (2025). Looking deeper into the algorithms underlying human planning. Trends in Cognitive Sciences.
Russek, E. M., Moran, R., Liu, Y., Dolan, R. J., & Huys, Q. J. (2024). Heuristics in risky decision-making relate to preferential representation of information. Nature Communications, 15(1), 4269.
Sharp, P. B.*, Russek, E. M.*, Huys, Q. J., Dolan, R. J., & Eldar, E. (2022). Humans perseverate on punishment avoidance goals in multigoal reinforcement learning. Elife, 11, e74402.