Mamjeey Ochieng

Historian and academic specialist with a Master's degree from University College London and over 7 years of experience at the intersection of historical research, curriculum design, and educational technology. Recognized for developing rigorous, ethically sound training data for advanced AI models and instructional content that bridges the gap between scholarly accuracy and accessibility. Experienced in grading, rubric design, content refinement, and collaborative model coaching within AI environments. Adept at synthesizing complex historical narratives into educational tools that are contextually grounded and linguistically precise, with a strong foundation in European, Colonial, and Postcolonial history.

• Learning Design in Higher Education, University of London, 2023
• AI in Education: Opportunities and Ethics, University of Cambridge (Online), 2022
• Inclusive Teaching in the Humanities, FutureLearn, 2021
• Associate Fellow of the Higher Education Academy (AFHEA), Advance HE, 2019

• Associate Fellow of the Higher Education Academy (AFHEA), awarded for excellence in university-level teaching and curriculum design.
• Recipient of UCL Dean’s Distinction Award (2016) for outstanding postgraduate research in postcolonial history.
• Invited speaker at the Historical Association Annual Conference (2023) on ethical historiography and inclusive curriculum development.
• Member, Royal Historical Society (RHS), contributing to research forums on decolonizing historical narratives.
• Peer Reviewer for the Journal of Postcolonial History, evaluating submissions for methodological rigour and historical clarity.
• Panelist, Cambridge Digital Humanities Workshop on AI in Historical Research (2022), addressing alignment and ethical evaluation.
• Led university-funded research project on British Imperial Memory in Urban Monuments, published in academic and public education formats.
• Historical consultant for a BBC4 documentary series on the legacy of the British Empire in modern Britain.
• Organized cross-institutional ethics roundtable on "History, AI, and Representation," attended by 50+ academics and researchers.

• Authored and implemented over 500 historically accurate learning materials for AI datasets, improving alignment and factual accuracy by 30%.
• Reduced model error rate on historical QA datasets by 25% through the development of customized grading rubrics and evaluation workflows.
• Increased student engagement scores by 40% in history curriculum piloted across three UK sixth-form colleges.
• Contributed to the ethical decolonization of five key history modules adopted by educational institutions across Greater London.
• Designed 100+ assessment rubrics now utilized in both academic and AI training environments.
• Facilitated the inclusion of postcolonial content in an AI historical narrative training campaign, influencing over 10,000 prompt evaluations.
• Successfully led a model audit that identified and corrected over 200 instances of historical bias in generated content.
• Received top-tier peer review ratings for research submitted to the Journal of Historical Inquiry (2022).
• Mentored six postgraduate students in historical research methodology, resulting in three published articles and two academic awards.