I build AI systems that decode how organisations and consumers communicate in digital environments. My work combines machine learning, natural language processing, prediction and causal inference to analyse large-scale data, from 13+ million social media posts to thousands of news articles, and turn it into actionable insight.
My research focuses on corporate and brand communication during critical societal moments: CEO messaging during geopolitical crisis, consumer responses to AI, and how digital platforms shape public narratives around sustainability and inclusion. Published in the Journal of Public Policy & Marketing and presented at EMAC and AMS, my work bridges computational social science with marketing strategy and organisational decision-making.
I also design AI education for professionals. My Applied AI for Marketing course at the University of Amsterdam (rated 4.9/5.0) equips executives and graduate students with hands-on skills in Python, LLMs, and responsible AI deployment, grounded in the EU AI Act.
Open to research collaborations, applied AI partnerships, and opportunities where rigorous analysis meets real-world impact.
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