Dr Christopher Ormerod
Data science — NLP — systems biology — integrable systems
As an Executive Director of Natural Language Measurement at The College Board, I lead a team of researchers exploring the intersection of Natural Language Processing (NLP) and educational assessment. My research focuses on leveraging the power of Large Language Models (LLMs) to automate scoring processes, improving efficiency and consistency. I’m particularly excited about the potential of fine-tuned, open-source generative models to provide personalized, formative feedback to students, helping them learn and grow. This exploration of cutting-edge AI techniques in education is a passion of mine, and I actively contribute to the field, co-chairing the National Council on Measurement and Education’s (NCME) special interest group on AI in Measurement and Education (AIME). My academic background includes a PhD in Applied Mathematics, which has provided a strong foundation for my interdisciplinary research, spanning areas like NLP, educational measurement, pure and applied mathematics, and systems biology.
Executive Director of Natural Language Measurement, College Board
Co-chair of AI in Measurement and Education (A NCME Special interest group)
Artificial Intelligence
Fine-tuning LLMs for automated scoring, writing feedback, and grammatical error correction — and testing whether the scores are fair and valid.
Systems Biology
Protein–protein interaction networks as graphs: what their topology reveals about the biological functions underneath.
Mathematics
Discrete Painlevé equations, elliptic surfaces, and the affine Weyl group symmetries that classify them.