Teodoro Laino

Papers

Total Citations

381

H-Index

About

Teodoro Laino is a leading figure at the intersection of artificial intelligence, high-performance computing, and autonomous experimentation, driving a paradigm shift in how new materials are discovered. His most influential work, the 2022 paper "Accelerating materials discovery using artificial intelligence, high performance computing and robotics," has garnered over 380 citations, establishing a blueprint for closed-loop, AI-driven laboratories. Laino’s core contributions lie in developing and integrating autonomous robotic platforms with advanced AI models to perform high-throughput synthesis and characterization, effectively replacing slow, manual trial-and-error with rapid, iterative, and data-rich workflows. By combining simulation, machine learning, and robotics, he has demonstrated how to dramatically compress the timeline for identifying novel molecules and materials. As a key innovator at IBM Research, Laino’s work is not merely theoretical; he has built functional systems that learn from experimental outcomes and intelligently design the next experiment. For any student or researcher fascinated by the future of automated science, Laino’s research represents a foundational blueprint for how AI and robotics will transform the laboratory into a self-driving discovery engine.