About Me

My name is Henry Sanmi Makinde, a measurement scientist and AI researcher passionate about making learning and assessment smarter and more accessible. My strength lies in blending traditional psychometric methods with modern AI, giving me a unique advantage in shaping the future of educational measurement. I also founded DoctorAI Academy, a platform designed to make AI learning simple, practical, and accessible, "a one-stop shop for everything AI".

My Journey

My career began in Nigeria, where I studied Statistics and worked in data science and market research. Over time, I transitioned into educational measurement, developing expertise in psychometrics Classical Test Theory (CTT), Item Response Theory (IRT), equating, and hierarchical linear modeling. In 2023 I changed trajectory into Computational Psychometrics, this foundation has allowed me to explore how artificial intelligence can responsibly transform assessment.

Today, I am a Ph.D. Candidate in Educational Research Methodology at the University of North Carolina at Greensboro. My dissertation focuses on automatic item generation using large language models (LLMs) and multi-stage agentic systems, pioneering work that connects rigorous test development approaches with cutting-edge AI innovations.

Current Endeavors

Writing my dissertation on automatic item generation using large language models and agentic systems.
Currently working with PAEA through my Graduate Assistantship, contributing to psychometric analyses, test development, and AI applications in assessment.
Building an AI course with Doctor Academy: AI-101
Collaborating on AI research, particularly in educational measurement and responsible AI practices.

Founder & CEO DOCTOR AI ACADEMY

In all you do, be valuable!!!

Key Highlights

Founder, DoctorAI Academy – A one-stop shop for AI learning and training.
Ph.D. Candidate, Educational Research Methodology (Measurement)
Research Collaborations – Interned with PAEA, NCCPA, FocalPoint Education, and GCS on psychometric and AI-driven projects.
Publications: The Readability Paradox: Can we trust AI decisions?
Conferences – Presented at NCARE,NCME, IMPS, and AIME-Con.
Key Note Speaker– The power of statistical literacy, Keynote address at Statistics Summit 2.0

KEY EXPERTISE

PSYCHOMETRIC METHODOLOGIES

(CTT, IRT, EQUATING, STANDARD SETTINGS, ETC.)

ARTIFICIAL INTELLIGENCE IN MEASUREMENT

(ITEM GENERATION, SCORING, FEEDBACK)

AI METHODOLOGIES

(Prompt Engineering, RAG, Finetuning, AND Agents)

STATISTICAL ANALYSIS & MODELLING

DATA SCIENCE

(Machine Learning, Deep Learning, NLP)