Jonathan Melchiorre
Structural Design & Artificial Intelligence
“I explore how humans and AI can shape better structures together.”
About
Jonathan Melchiorre works at the intersection of structural engineering, artificial intelligence, and design. His research focuses on human-centered AI methods for form finding and structural optimization, with the goal of making computational design more interactive, intuitive, and responsive to human intent.
Background
CV
Post-Doctoral Research Associate
Princeton University, USA — Form Finding Lab
Visiting Research Scholar
Northeastern University, Boston — Structural Futures Lab
Post-Doctoral Research Associate
Politecnico di Torino, Italy
Ph.D. in Artificial Intelligence
National PhD “AI as support for design”
Visiting Student Research Collaborator
Princeton University, USA — Form Finding Lab
Visiting Ph.D. Student
National Technical University of Athens, Greece
M.Sc. in Civil Engineering
Politecnico di Torino
B.Sc. in Civil Engineering
Politecnico di Torino
Research themes
Human-AI Collaborative Structural Design
Human and AI collaborate to explore complex structural design spaces, combining computational search with human expertise and intuition.
Form Finding & Structural Optimization
Form Finding of long-span structures coupled with machine-learning, evolutionary and metaheuristic structural optimization algorithms.
Parametric & Computational Structural Design
Computational workflows that connect parametric modelling, structural analysis, and design exploration for efficient and adaptable structures.
Structural Assessment & Health Monitoring
Machine learning methods for acoustic emission monitoring, damage detection, and structural assessment.
Get in touch
Open to research collaborations, talks, and consulting on AI-driven structural design.