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SPEAKING.
It’s not because we can that we should.
Much of today’s discourse on Artificial Intelligence (AI) oscillates between technological optimism and fear-driven narratives, often skipping the harder question: where does AI genuinely belong, and where does it not? The most meaningful advances rarely come from maximal automation, but from carefully deciding what should remain human, what can be augmented, and how the two can coexist responsibly. The real challenge is no longer building smarter algorithms. It is deciding where intelligence belongs, how it should be constrained, and how it can be integrated without eroding human expertise, accountability, and trust.
As a Computer Scientist, my perspective is shaped by deep, hands-on experience designing and deploying applied AI systems across sectors. From early conversational agents developed in the pre-transformer era, to smart interactive museum guides adopted by leading European institutions, to collaborative robotics and adaptive industrial systems, and more recently mental healthcare technologies, I have worked at the boundary where algorithms meet real-world constraints. These experiences made me a firm believer in a grounded, systems-level view of AI as something that must be surgically applied, not indiscriminately scaled.
In my talks, I aim to connect disciplines that are often siloed. I often draw from my experiences, framing AI not as an autonomous force, but as a designed layer within the cyber, the physical and our social systems.
Get in touch if you’d like me to speak at your event or conference.
RECENT TALKS &
PANEL ENGAGEMENTS
A Digital Safe Space: An Artful Path to Healing in the Age of Likes, Shares, and the Pursuit of the Next Follow , Invited Talk at Rotary Club Luxembourg-Hearts , Luxembourg City, Luxembourg, May 2025.
From Clicks to Care: The Promise and Perils of AI-Powered Personalization , AI Lecture Series at Pace University , New York City, USA, April 2025. ▶️ YouTube
Computational Methods for Designing Human-Centered Recommender Systems, Tutorial at the 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, 14–18 October 2024. ▶️ YouTube
Personalization in the Age of Cyber-Physical-Social Systems DINS Seminar Series at University of Pittsburgh , Pittsburgh, USA, November, 2023.
The future of Artificial intelligence and Society at HITLAML2023, Belval, Luxembourg, Septemeber 2023.
Context Representation in User Modeling CRUM Workshop at UMAP2023, Limassol, Cyprus, June 2023.
Can Machine Intelligence crack the code of Visual Arts? Culture & Computation Lab, Luxembourg, June 2023.
Learning Latent Semantic Representations of Paintings for Personalized Recommendation, LuxCHI seminar, April 2023.
Recommender Systems Elements of AI, Luxembourg, March 2023.
Personalization in Cyber-Physical-Social Systems, GDR MACS, Nantes, France, February 2020.
Social Preference Elicitation and Preference Learning with Setwise Max-Margin, Workshp at Neural Information Processing Systems (NeurIPS2018) Montreal, Canada, December 2018.
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For a Full list of publications, please refer to my Google Scholar page