
Giovanni Dall'Aglio
Scientist · Writer · Pianist
MY EXPERTISE
AI & Data Science
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Machine Learning & Deep Learning
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Generative AI & Predictive Modeling
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Monte Carlo & Simulation-Based Inference
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Advanced Data Visualization & Storytelling
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Python, R & Open-Source Computational Tools
Risk, Finance & Complexity
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Quantitative Finance & Actuarial Modeling
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Risk Analytics (credit, market, operational, systemic)
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Copulas, Dependence & Extreme Value Theory
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Probabilistic Forecasting & Stress-Testing
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Simulation of High-Impact and Complex Scenarios
Complex Systems & Engineering Intelligence
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Modeling and simulation of complex and adaptive systems
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AI-driven design and optimization (engineering & shipbuilding)
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Digital twins & predictive simulations
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Uncertainty quantification in large-scale projects
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Human–machine interaction in engineering design
ABOUT

I chose to work independently out of a desire for freedom, competence, and intellectual honesty.
Not freedom in the superficial sense of “being on my own”, but the deeper kind:
the freedom to think without constraints,
to follow problems wherever they lead,
to build work that preserves both substance and integrity.
I studied Naval Engineering and completed a PhD in Statistical and Actuarial Sciences.
Over time I understood that the most interesting questions do not belong to a single domain: they live in the intersections — where physical systems meet uncertainty, where probabilistic thinking meets human behaviour, where structure and meaning have to coexist.
No job description ever managed to contain that breadth.
Working as a freelancer — and later through selective platforms like Toptal and Kolabtree — allowed me to rely on what I value most: my ability to think, to model, to create understanding.
It was an act of freedom, but also of courage: to be paid for competence rather than for a title, and to stay close to the craft rather than drifting into managerial abstraction.
The other pillar of my professional life has always been teaching.
For me, teaching is not a parallel activity but a way to remain authentic:
to maintain clarity of thought,
to keep skills alive,
to explain things to others so that they become clearer to myself.
It is, in many ways, the discipline that keeps me intellectually honest.
Today, alongside my independent work, I co-founded an innovative project that blends advanced statistical methods, artificial intelligence and cognitive-behavioural modelling.
It reflects again the same movement toward interdisciplinarity: engineering structure, actuarial reasoning, psychological insight — all woven into a single line of inquiry.
Much of what I write — on the meaning of work, on the erosion and defence of competence, on authenticity in technical fields — comes from this lived experience.
I believe that work should deepen us rather than flatten us, and that expertise and humanity should reinforce each other rather than stand apart.
My path has never been linear, but it has always been coherent.
Across engineering, statistics, research, writing and teaching, I’ve tried to cultivate a single principle:
to work in a way that keeps me competent, curious and human — all at once.