Polly is a behavioral scientist who theorizes and tests how affect and emotions shape behaviors and outcomes related to motivation (e.g., engagement, turnover, and prosocial behavior) and DEIB (diversity, equity, inclusion, and belonging). Her research often combines large-scale field datasets with causal research designs (e.g., natural field experiments and quasi-experiments) and tools from statistics and machine learning.
