Artificial Intelligence

• Set and drive strategy for evaluating generative AI across research, academic, and government products, establishing frameworks to assess reliability, transparency, and bias.
• Co-develop evaluation roadmaps with product and data science teams to ensure AI models enhance research efficiency and integrity.
• Lead governance and standardization for evaluation processes, aligning with our Elsevier Evaluation playbook, global Responsible AI, and research integrity principles.
• Design and oversee evaluations of product performance across research domains.
• Enhance evaluation methodologies addressing factual accuracy, source grounding, bias mitigation, and reproducibility in scientific content generation.
• Foster cross-functional collaboration among research scientists, technologists, and academic partners to refine evaluation metrics and standards.
• Guide evolution of evaluation tooling and dashboards that surface insights into AI model performance and research impact.
• Mentor evaluation scientists and research specialists in applying rigorous evaluation methods to generative AI use cases.
• Represent Elsevier externally, contributing to industry standards and thought leadership in Responsible AI for research.

Academic Research Lead – AI Evaluation

Senior Consultant – AI, Data

AI Market Research Manager