Eva is a PhD researcher at the Center for Human and Machine Behavior (Max Planck Institute for Human Development) and the Max Planck School of Cognition, supervised by Iyad Rahwan. From September 2025 to January 2026, she will be a visiting PhD researcher at the Affective Brain Lab. She holds a background in Neuropsychology and Human Factors Engineering, and previously worked at the Max Planck Institute for Empirical Aesthetics with Julia Christensen, focusing on embodied emotion and cognition in dance.
She examines how AI systems mediate human decision-making through affective mechanisms. Her work focuses on how AI interventions – such as predictive cues or emotion filters – can shape perception, evaluation, and affective forecasting across both private (e.g., donation) and public (e.g., administrative decision-making) domains. Conceptually, her research bridges cognitive-affective models of decision-making with sociotechnical perspectives, aiming to better understand how micro-level psychological shifts scale up to influence broader patterns of human–AI interaction in society.