My research bridges neuroscience, sports science, behavioral science, and computational cognition to develop new motivational theories and enhance our understanding of mood, persistence, and their interactions. By integrating these diverse fields, I investigate the neural and cognitive mechanisms that drive motivation and determine how mood states influence an individual's ability to persist in tasks. This multidisciplinary approach allows me to create computational models that predict behavior, offering valuable insights applicable to contexts like physical exercise and learning environments. Ultimately, my work aims to inform strategies that boost performance, foster sustained engagement, and promote overall well-being.

By studying how mood and persistence interact during demanding tasks, I aim to create interventions that adjust an individual's perception of effort. This research not only helps people sustain performance in physical exercises but also translates to improved endurance in cognitive tasks, ultimately enhancing productivity and well-being across various settings.

Practically, I manage and mentor research focused teams of up to five individuals, engaging in data aquisition, data analyses, and experimental design for behavioral science.