
If you've made it this far, I suspect you already know what I'm talking about.
Advisor to senior leaders on judgment, decision-making, and cognitive authorship in AI-driven organizations.
Researcher at the intersection of cognitive science, automation bias, and what AI does to professional expertise.
MBA in Decision Science (Psychology, Economics & Consumption) · Postgraduate in Anthropology · Bachelor in Law specialized in Digital Law
Machine Learning Specialization (Stanford / DeepLearning.AI) · Innovation Management (Erasmus University Rotterdam)
12 years in law and business strategy · 6 years in digital product leadership
Led Condé Nast's first AI innovation program
Writing on AI and human cognition since 2019
Now let's me explain what the CV doesn't
YES, I'M A SCI-FI READER
Science fiction, at its best, has never really been about spaceships or alien civilisations.
That lens took me through some unusual places.
AND THEN THE CONDITIONS CHANGED
Generative AI arrived, not as a distant future, but as the present.
And it did exactly what the best science fiction had warned it would.
Not with robots. Not with superintelligence.
Quietly, inside the workflows of people who were good at their jobs, taking, for the first time, not just the effort, but the thinking those people used to do themselves.

A Curiosity
Susan Calvin. Asimov's robopsychologist.
The scientist who spent her career studying artificial minds to understand what they revealed about human ones. She never looked at the problem from the outside, never in alarm. She looked at it with precise, patient attention to what was actually happening between the human and the machine. What the machine made possible.
What the machine, quietly and without announcement, took away.
That's the posture I've brought to this work — yes, inspired by my favourite sci-fi character. Not the commentator watching from a distance but the person inside the mechanism, asking what it does to the people who depend on it.
So I went and looked.
I studied, I run research, I interviewed people from different backgrounds. I talked to senior leaders across Europe and Brazil, and I listened for what they couldn't quite say. The hesitation that didn't have a name yet. The quiet discomfort underneath the productivity gains.
What emerged was consistent, serious, and almost entirely absent from the existing conversation.
Leaders weren't losing their jobs. They were losing something harder to name:
The sense that their judgment was still genuinely theirs. That their decisions reflected their thinking, their experience, their accountability and not a polished output they'd approved on the way to the next meeting.
I called it a cognitive authorship problem.
And I built this practice to close it.
