Aoife Reilly
Papers
1
Total Citations
3
H-Index
1
About
Aoife Reilly is a rising researcher at the intersection of artificial intelligence and neurodevelopmental health. Her work centers on leveraging machine learning to transform the assessment and management of autism spectrum disorder (ASD), aiming to bring data-driven precision to clinical practice. Her most notable contribution, the 2025 paper "The role of machine learning in autism spectrum disorder assessment and management," has already garnered 3 citations, signaling early impact in a field hungry for innovative diagnostic tools. Reilly’s research explores how algorithms can analyze behavioral, genetic, and imaging data to identify ASD markers earlier and more accurately than traditional methods, potentially reducing diagnostic delays and personalizing intervention strategies. While her citation count is modest, her work is positioned at a critical juncture—bridging computational methods with real-world clinical needs. For students and researchers, Reilly represents the vanguard of a new generation using AI to address complex neurodevelopmental conditions, demonstrating that even early-career contributions can shape the future of mental health technology.
Research Focus
Key Achievements
Top Papers
- 1