Parametric design and artificial intelligence applied to structural engineering, taught by someone who uses them daily on real projects.

There is a single thread running through these courses: instead of producing the result by hand, you build the process that generates it.

Computational design, with its algorithmic and parametric logic, is used in structural work to:

• explore many design variants quickly
• update the model's geometry in real time
• automate checks and drawings
• bring FEM analysis into a single workflow.

It is especially valuable for complex geometries, projects with many iterations, structural optimization, and all the repetitive tasks that eat into actual design time.

Artificial intelligence extends the same principle to people who don't write code. It is not a black box that "does the maths for us": it is the fastest way to build custom tools — verification sheets, automations inside FEM packages, data extraction from project documents, practice procedures encoded once and reused from then on.

I have taught parametric design for over 10 years as an Authorized Rhino Trainer (official McNeel certification), working with Italian universities including Politecnico di Milano.

I discovered the Grasshopper computational platform in 2014, through Arturo Tedeschi's Ecologic Patterns course. From there I pursued a research path exploring form-finding and digital fabrication techniques, which led to the book Parametric Experiments in Architecture. A Connection Joint Design for Sustainable Structures in Bamboo with Prof. F. Di Paola of the University of Palermo.

I run courses on parametric design and on the use of AI in structural engineering, for design practices and teams, both on-site and online, with material drawn from real projects.