'In my professional life, I have often worked at the point where different perspectives need to come together. My role has rarely been about technical expertise itself, but about helping organisations make informed decisions by translating between strategic priorities, operational realities, and governance constraints.
Over the past few years, and particularly since starting my MBA in AI, Data and Analytics at the University of Amsterdam, I have increasingly come to see AI not just as a technological development, but as a powerful driver of organisational and societal change. This has led me to focus on how these changes unfold in practice, particularly in how organisations interpret, adopt, and take responsibility for the use of AI.
I am especially interested in how AI can be implemented in ways that genuinely improve people’s lives, while ensuring that considerations such as fairness, accountability, and long-term impact remain central to decision-making. An important aspect of this for me is accessibility: helping individuals and organisations understand how AI works, identify meaningful use cases, and navigate its risks and benefits responsibly. This is an area that particularly interests me in the context of smaller organisations, which often face strong pressure to adopt new technologies but may lack the resources, expertise, and clear processes needed to use AI responsibly.'
'My first introduction to UvA was actually in the Impact Building during my programme orientation. I remember being struck by how modern, open, and thoughtfully designed the space felt. It immediately gave me a sense that this was a place where innovation and collaboration were actively encouraged.
Since then, what has impressed me most about UvA is the atmosphere across the campus. Seeing students from different backgrounds working together, exchanging ideas, and engaging so actively in their learning creates a very inspiring environment. It is a place that feels intellectually vibrant and genuinely focused on curiosity, collaboration, and impact.'
'What attracts me to the REC Impact Fellowship is its strong focus on real-world application. It is a place where research, innovation, and practice intersect, and where the emphasis is not only on developing new technologies, but on understanding how they are implemented, governed, and experienced in real contexts.
I see my potential contribution in bringing an organisational and governance perspective to these conversations, helping to bridge the gap between technological possibilities and the realities of implementation. At the same time, I am eager to learn from others in the community and to deepen my understanding of how responsible AI is being applied across different contexts.
What excites me most about the REC Impact community is its interdisciplinary and collaborative nature. It is a space where people with different perspectives come together to work on complex societal challenges that no single discipline can address alone. I am motivated not only to learn from this environment, but also to contribute my own experience and to take part in discussions on how AI can be integrated into organisations and everyday life in ways that are responsible, practical, and genuinely beneficial to society.'