Summary
Ayah Soufan is a Research Associate in Human-AI Interaction at the University of Strathclyde with a decade of experience bridging data science, software quality assurance, and user-centered AI research. She specializes in participatory AI auditing and co-develops toolkits and methodologies that help stakeholders assess the quality and harms of predictive and generative systems, with a particular focus on AI for cultural heritage. A former Marie Skłodowska-Curie Early Stage Researcher, Ayah has designed and run user experiments on configurable exploratory search interfaces and published in CHIIR/ICTIR venues. She combines academic rigor from her PhD work in Computer and Information Sciences with six years of industrial QA and data mining experience, making her adept at turning research insights into practical, auditable solutions. Actively building community, she co-founded multiple initiatives to grow women and tech networks in Palestine, and contributes as a reviewer to leading HCI/IR journals. Based in Glasgow, she brings a rare mix of participatory methods, evaluation expertise, and hands-on engineering perspective to accountable AI.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer and Information Sciences, Doctor of Philosophy - PhD, Computer and Information Sciences at University of Strathclyde
Master of Science (MSc.), Data Science, Distinction, Master of Science (MSc.), Data Science, Distinction at University of Southampton
Bachelor of Engineering, Computer Engineering, Bachelor of Engineering, Computer Engineering at An Najah National University
Arabic, English