Bridging human insight and technology — applying anthropological thinking to AI strategy, product development, and organizational transformation.
I'm a digital anthropologist working at the intersection of human behavior, technology, and organizational change. For fifteen years I've led knowledge, learning, and innovation portfolios across the public, multilateral, and technology sectors. Today I research how knowledge itself is made when people work alongside AI.
More about me →Research explains. Engineering builds. I do both, in that order. I study how people actually make sense of what a machine tells them — the coordination, the repair, the judgment that stays invisible — and I translate that into knowledge platforms, learning systems, and taxonomies that hold up inside real institutions. Dense data in; working systems out.
How knowledge gets made in human–AI work, and what conditions let organizations actually change.
Turning dense qualitative detail into frameworks, decisions, and product.
Skills-intelligence systems, knowledge platforms, and AI-integrated learning inside institutions.
These are questions no dashboard answers. Why people don't follow the safety protocol that was designed for them. Why a prevention policy doesn't change the behavior it was meant to change. Why a team uses an AI tool in a way nobody predicted. Data tells you what happened. It doesn't tell you why.
I do the fieldwork, and what comes back is an evidence-based read of what is actually going on, with a clear path to what comes next. When the answer turns out to be a system, I build that too.
A voice that connects human behavior and technology without the hype — for a conference, a leadership program, or a room that has to decide something afterward.
I speak about how knowledge gets made in human–AI work, what organizations lose when they over-formalize it, and what thick human detail still buys you in an age of agents.
The state decides what people need without asking them. Nobody inside the bureaucracy knew how to do it any other way.
65,000 civil servants · 2nd best in the world Local government · ArgentinaOnly 12% of residents paid their taxes. The municipality read it as a collections problem. It wasn't — it was distrust.
12% → 60% tax collection Manufacturing · GlobalAutomation isn't solved with courses. It's solved by understanding how the four actors in the system move: workers, union, line managers and HR.
200+ factories worldwide Oil & gas · ArgentinaRisk on an oil field belongs to engineering. But there's a layer no protocol reaches: why people do what they do when nobody is watching.
100 hours of participant observation Skills intelligence · ChileFree public training that didn't help anyone move jobs — because nothing fed back what the market was actually asking for.
Chile's first sectoral reskilling platform Public sector skills · GlobalLearning pathways in government are designed in a straight line. The problem was never the supply of courses — nobody knew what skills were already there.
Two tracks: data and gender · Open, published toolI study how institutions create space to break their own rules — and what happens to knowledge when we produce it alongside AI.
How the conditions get built for organizations to experiment and change: spaces where the rules are temporarily suspended, middle leaders who translate between worlds that don't understand each other, and political contexts that make the experiment legitimate.
Doctoral thesis in progressHow knowledge is produced, negotiated, and attributed when people work alongside agentic AI. And what gets lost when qualitative knowledge is compressed into formal infrastructures.
Conversations with anthropologists, designers and researchers about what's coming. People who inspire me, thinking out loud.
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The work I take on is where human behavior, technology, and institutional change actually meet. If you are working at that intersection, I am glad to hear about it.
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