Laura Petrini

Papers

Total Citations

H-Index

About

Laura Petrini’s research explores the dynamic interplay between human cognition and artificial intelligence, with a focus on bidirectional learning systems. Her most cited work, "The Changing Brain: Bidirectional Learning Between Algorithm and User" (2015), examines how algorithms and users mutually adapt, reshaping neural and computational processes over time. Though early in her career, this foundational paper has garnered 2 citations, laying groundwork for understanding adaptive human-AI interaction. Petrini’s contributions bridge neuroscience and machine learning, emphasizing the plasticity of both biological and digital systems. Her work is notable for its interdisciplinary approach, drawing from cognitive science, computer science, and educational technology to propose frameworks where users and algorithms co-evolve. As a rising voice in this niche, Petrini’s insights hold promise for designing more intuitive, personalized AI systems that respond to individual learning patterns. Her research invites further exploration into how continuous feedback loops between brain and machine can enhance learning, decision-making, and user experience.