I joined the DDIS group as a postdoctoral researcher in September 2025 to investigate how people collaborate with AI systems — in particular, how they engage with AI as decision support. My goal is to explore how such collaborations can be designed to genuinely benefit humans, beyond merely enhancing decision efficiency.

I completed my PhD in Human-Technology Interaction at Eindhoven University of Technology, where my dissertation “The Dynamics of Trust and Reliance in Human-AI Interactions” examined how trust and reliance develop in repeated and long-term human–AI encounters.

Before returning to academia to earn my Master’s degree and my PhD, I worked for several years as a strategic marketing consultant. I hold an MSc in Human Decision Science from Maastricht University and a BA in Applied Media and Communication Studies from Ilmenau University of Technology.


In a world shaped by AI, we need to ensure that human–AI collaborations are aligned appropriately — independent of context or system — so that users, other stakeholders, and society as a whole can benefit from them holistically. My research aims to understand how people make sense of, rely on, and adapt to intelligent systems, and how such interactions can remain effective and responsible over time.
I am currently interested in:

• When and how people defer to AI or to other humans in collaborative decision-making
• How to detect and address inappropriate forms of deference or reliance
• Collective and group decision-making involving multiple AI agents
• Designing meaningful, human-centered AI systems that balance efficiency and well-being

 I use a mixed-methods approach that combines quantitative experiments (e.g., Wizard-of-Oz setups, simulations, and real-world implementations) with qualitative approaches such as ethnographic fieldwork, focus groups, and interviews.

You can find my profile on Google Scholar