Biography
Noura is pursuing a DPhil in Engineering Science, focusing on the safety of artificial intelligence (AI) in healthcare. She holds an MSc in Artificial Intelligence with Distinction from the University of Edinburgh. For her master’s thesis, she developed an AI pipeline for drug screening using graph neural networks and transfer learning.
Prior to her postgraduate studies, she applied machine learning across multiple domains. Her experience includes designing and deploying large language model (LLM) systems for Arabic and English applications, and developing computer vision systems for inference on edge devices.
Awards and Prizes
- “Best Overall” prize at the Life Sciences Oxford x UCL Life Sciences Innovation Sprint for a pediatric care startup focused on accessible speech training for children with speech impairments
- First place in a computer vision hackathon for developing a deep learning system for autism spectrum disorder detection from images
Research Interests
Her research interests center on the evaluation of generative models, with particular emphasis on LLMs and multimodal large language models. Her work addresses the fragmented evaluation of generative models in healthcare settings by developing more systematic and reliable evaluation methodologies, including LLM-as-a-judge frameworks and Neuro-symbolic approaches.
