I chose to work independently out of a desire for freedom, competence, and intellectual honesty. Not freedom in the superficial sense of “working on my own,” but the deeper kind — the freedom to think without rigid boundaries, to follow complex questions wherever they lead, and to build work grounded in substance rather than role definitions.

​

My academic background is in Naval Engineering and Statistical and Actuarial Sciences, where I completed my PhD. From early on, my interests moved across domains: physical systems, probabilistic modelling, uncertainty, human behaviour, and the conceptual foundations of decision-making. No single job description fully matched this transversal profile.

​

I began my independent professional path through selective expert platforms such as Toptal and Kolabtree, working on high-complexity analytical and modelling projects. These environments valued methodological depth and problem-solving ability over formal roles, and they provided a natural starting ground for a competence-driven practice.

​

Over time, this evolved into a fully independent activity combining analytical consulting and teaching. My work focuses on modelling, uncertainty, risk, and complex systems, often at the intersection of engineering, statistical–actuarial reasoning, and behavioural analysis. I typically engage where problems resist standard templates and require interdisciplinary structure.

​

Teaching has always been a parallel and essential dimension of my work. I teach and supervise students across disciplines, and I deliver AI and advanced analytics training for companies, with a focus on methodological clarity rather than tool-centric hype. Teaching, for me, is not an accessory — it is a discipline that preserves clarity of thought and keeps competence alive through explanation.

​

Alongside consulting and teaching, I am co-founder of an innovative initiative in the field of AI-driven cognitive and behavioural modelling, combining data science, psychometric approaches, and machine learning methods. The project reflects the same principle that guides my broader work: integrating quantitative rigour with an understanding of human behaviour and decision processes. I prefer to keep this activity described in conceptual rather than promotional terms.

​

In parallel, I write essays on technology, the meaning of work, competence, and authenticity in technical professions. These reflections are not separate from my scientific activity — they are part of the same attempt to understand how technical knowledge and human meaning can remain connected.

​

My path has not been linear, but it has been coherent. Across research, modelling, consulting, writing, music, and teaching, I have tried to cultivate a single principle:

​

to work in a way that keeps competence, depth, and humanity aligned.