Academic Pages is a ready-to-fork GitHub Pages template for academic personal websites

I am a PhD applicant with graduate training in financial econometrics and neuroeconomics. My research interests lie in behavioural and experimental economics, with a particular focus on human–AI decision-making and advice taking.

I am especially interested in how people use, interpret, and respond to AI-generated advice, and how algorithmic information influences beliefs, strategic reasoning, and economic decision-making. I approach these questions using experimental and quantitative methods, drawing on my training in econometrics, behavioural economics, and neuroeconomics.

I hold a Master of Financial Econometrics from Johns Hopkins University and an MSc in Business Economics (Neuroeconomics) from the University of Amsterdam. This interdisciplinary training has provided me with a quantitative foundation in econometrics and finance, alongside experimental and behavioural approaches to human decision-making.

For my doctoral research, I hope to examine how AI-generated advice and information shape individual and strategic decision-making. I am particularly interested in extending these questions to economic and financial environments involving risk, uncertainty, and shared information.

Outside of research, I enjoy swimming, skiing, playing chess, and dancing—particularly hip-hop and urban dance.