A systems wayof thinking.

My professional path began in the Department of Justice of Catalonia, where I worked on tracking and verification technologies used in correctional systems. These included voice verification, GPS and GSM-based monitoring technologies for convicted individuals. In that environment, technology is not abstract. When systems fail, consequences are real; for institutions, for people, and for society. That early experience shaped my respect for accountability, robustness, and restraint in technical design.

From there, I moved into research.

I conducted a PhD in Neuroscience at Radboud University, working at the intersection of biophysics, perception, and computational modeling. My research focused on how humans estimate and represent the motion of sound sources and on the internal models that support this process; specifically, how the brain integrates head and eye movements to determine the spatial dynamics of acoustic stimuli. Along the way, I designed and built custom experimental setups, including head–eye tracking systems and signal-processing pipelines. Research at that level teaches you something fundamental: reality is messy, models are approximations, and every assumption is eventually tested.

During my research at the University of Zurich, I conducted experiments using a vestibular chair to study one of the more challenging problems in moving sound-source localization: how to dissociate self-motion from sound-source motion. Understanding whether a sound is moving in the world or whether we ourselves are moving requires an understanding of how vestibular, auditory, and proprioceptive signals are integrated by the brain under strict experimental control, where timing, calibration, and repeatability are essential. Small inconsistencies in any component can fundamentally change the interpretation of spatial perception.

Later, at the Donders Institute for Brain, Cognition and Behaviour, I supported neuroscience research by building experimental setups and technical infrastructures that allowed scientists to focus on science instead of tooling. At the FELIX Laboratory, a free-electron laser facility supporting advanced physics research, my role shifted further into systems architecture: data pipelines, infrastructure design, and long-term data handling in highly specialized research environments.

Most recently, at Wageningen University & Research, I worked on Research Data Management solutions; designing sustainable, compliant, and scalable systems for storing, preserving, and accessing scientific data over long time horizons. This work sits at the crossroads of technology, policy, funding, and human behavior. It is where you learn how often institutions become dependent on tools they don’t fully control or understand.

Across all these roles; government, research, infrastructure; I worked in different countries, cultures, and organizational models. I saw excellent people constrained by fragile systems, opaque vendor dependencies, and decisions made far away from those who had to live with the consequences. I also learned how much value there is in clear architecture, calm engineering, and honest limitations.

Starting a consultancy was something I had wanted to do for a long time. Not because I wanted to sell technology, but because I wanted to help organizations own their infrastructure, understand their trade-offs, and build systems that align with their values, budgets, and long-term realities.

That is why I founded LibreInfra.