About me

I am a final-year PhD candidate in Applied Statistics at the Centre for Health Informatics, Computing and Statistics (CHICAS) at Lancaster University. I am supervised by Dr. Anastasia Ushakova, Prof. Kate Cain and Dr. Gabriel Wallin.

I’m a self-motivated researcher in applied statistics with a strong foundation in mathematics and statistics applied to a real-world application (education research). My current focus is on advancing methodological innovations in areas of quantitative psychology and literacy. Through close collaboration with industrial partner Amplify (U.S. based educational technology company), I have developed state of the art expertise in utilisation of large, complex and unstructured datasets complemented by strong skills in engagement and knowledge exchange.

I bring a strong foundation in mathematics and statistics, with particular expertise in:

• Longitudinal methods
• Cognitive diagnostic modeling (CDM)
• Item Response Theory Models (IRT)
• Unsupervised Learning
• Cluster Analysis
• Latent Variable Models
• Large, Complex, and Unstructured Datasets

I am also actively engaged in open science and reproducible research. My code and papers are available on GitHub Pages and Google Scholar.

You can find my CV here.