People & Contacts

AI4I \ R&D Lab \
Adavanced Materials & Engineering Design

AI4I
The Italian Institute
for Artificial Intelligence

AMED
Advanced Materials & Engineering Design
https://r&d_labs.ai4i.it
amed@ai4i.it

Principal Investigator

Marco Maurizi
AI4I Lab – AMED, Principal Investigator

Dr. Marco Maurizi is Principal Investigator and Director of the Advanced Materials & Engineering Design (AMED) Lab at the Italian Institute of Artificial Intelligence (AI4I) in Turin, Italy. His research lies at the intersection of artificial intelligence, computational mechanics, and materials engineering, with a focus on physics-aware generative models, AI Physics Engines, robotic matter, and end-to-end AI frameworks for the design of advanced materials, devices, and engineering systems.

Before joining AI4I, Dr. Maurizi was a Postdoctoral Researcher at the University of California, Berkeley, where he co-led AI-driven metamaterials design in Prof. Xiaoyu (Rayne) Zheng’s lab under the NSF DMREF program. He earned his Ph.D. in Mechanical Engineering with merit from the Norwegian University of Science and Technology (NTNU).

His current work spans architected and robotic materials, surrogate and reusable AI solvers for PDE-governed systems, and AI-assisted design of functional devices such as piezoelectric ultrasonic transducers. More broadly, he develops scalable AI methods to accelerate engineering discovery across mechanics, materials, and manufacturing, in collaboration with leading research centers in Europe and the United States. He also serves as a reviewer for journals such as Nature Communications, Nature Machine Intelligence, and Nature Computational Science.

Our Team

We are in the process of building our team. Check out our Openings to see current opportunities to join us.

Shubhendu Singh - Postdoctoral Researcher
Marco Benedetti - Postdoctoral Researcher
Rodolfo Subert - Postdoctoral Researcher
Paolo Secchi - PhD Student (collaboration)
Meijiao Wang - Master Student (collaboration)
Binzhou Zuo - Research Fellow