My research asks how people make decisions and applies this question to financial and health decisions. I am interested in how people use the information available to them, and how the environments they’re in, including increasingly AI-mediated ones, shape those choices over time.

This spans several connected threads: the cognitive mechanisms behind confidence and categorisation judgements, the persistence of financial cognitive biases across economic groups, how digital and AI-mediated systems influence real-world financial behaviour, and how these patterns vary across cultures and countries.

My current research examines how income and assets can shape financial wellbeing, including work showing that cognitive biases in financial decisions persist across economic groups. A related line looks at subjective financial strain, rather than poverty-line status alone, as a driver of financial decision-making and temporal discounting. I also study confidence in decision-making, building on my doctoral research on metacognitive confidence in categorisation judgements. At Columbia, I lead work on the role of AI as a behavioural intervention tool, co-developing and evaluating AI-assisted savings support and chatbot-based interventions with external partners. This applied lens extends to health decisions as well, including analyses of a flu vaccination text-message intervention and appointment no-show rates.

Alongside this, I direct the Junior Researcher Programme, coordinating large-scale multinational behavioural science studies across 20+ countries, and I’m an advocate for open science practices throughout my work.