Dr. Okan Bulut, PhD, MA, BA

Professor of Measurement, Evaluation, and Data Science 

Dr. Bulut’s research centers on educational data science, learning analytics, and large-scale assessment, with a particular emphasis on how data-driven methods can improve the validity, fairness, and usefulness of educational measurement systems. His work increasingly investigates the application of machine learning and artificial intelligence in educational contexts, including modeling learner behavior, and detecting meaningful learning patterns over time. His work advances assessment systems that move beyond static testing toward dynamic, evidence-based approaches

Dr. Ying Cui, PhD, MA, BA

Professor of Education in Measurement, Evaluation, and Data Science

Dr. Cui specializes in data-driven learning design, psychometrics, and quantitative modeling, with a focus on developing and validating measurement approaches that capture how students learn and develop across diverse contexts. Her recent research applies machine learning and data science techniques to examine cognitive development, identify patterns in learner performance, and model individual differences in how students acquire and apply knowledge. Her work contributes to more precise and interpretable representations of learning

Nina Thomas, B.A., B.Ed., DESS admin scol., M.Ed., PhD (c)

Researcher, Faculty lecturer and independent educational consultant

Nina has worked in education for 25+ years as a teacher, vice principal and instructional coach in regular, special and vocational schools. She teaches EdTech, inclusive leadership, change management, trauma-informed classroom management and inclusive assessment practices. Her research focuses on inclusive practices relating to neurodivergence, and the effects of stigmatisation and stereotype threat on the well-being of neurodivergent learners and educators within the education system.

Tanya Keto, MEd, RPsych

Registered Psychologist, Permanent Certified Teacher, Sessional Instructor, Parent Coach for the Centre for ADHD Awareness Canada, Neurodivergent parent of a neurodiverse child

With over 20 years of experience working with neurodiverse students as a parent, teacher, learning strategist, counsellor and coach, public educator, advocate and school psychologist, Keto brings empathy, insight and expertise to her various roles in order to set up students and parents for success.

Steven Sheppard, MEd, BA, BEd

Critical Disability Studies Researcher and Teacher of Students with Disabilities

Steven’s work bridges inclusive classroom practice, disability studies, and technology-enabled learning. He has contributed to research examining how digital tools (including AI-based supports) can enhance accessibility and identity-affirming learning experiences for neurodivergent students. 

Nat Raedwulf Pogue, MEd

Learning Support Teacher and Disability Advocate

Nat is an award-winning multiply-disabled Autistic Learning Support Teacher, teacher-educator, and researcher, as well as a parent of neurodivergent children in the public school system. Her work centers on creating inclusive, neuro-affirming, and accessible learning environments grounded in disability justice and informed by the lived experiences and leadership of people with disabilities and diverse abilities. 

Shelli Stocki, MS

Remote, Hybrid, and In Person Junior High and High School Teacher

Shelli has extensive international and domestic classroom and remote teaching experience, supporting students with diverse learning needs using digital learning tools in grounded pedagogy. Her insight helps ensure Inclue’s AI-powered features align with real classroom workflows and provide practical instructional benefit for students and teachers.