Personal profile
Overview
- PhD, University of Manchester
- Special Research Student, University of Tokyo
PhD Thesis: "Integrating Machine Learning into Structural Equation Models: Methods and Applications"
Biography
I got my BSc in Psychology. I worked with NGOs in research and other industry institutions for two years, before getting an MSc at The University of Manchester in 2023–2024. I am now a PhD student at The University of Manchester.
I am currently also a Special Research Student at The University of Tokyo in Japan.
Research interests
Building on a background in psychology with an early interest in applied psychology, my academic trajectory has increasingly focused on two complementary domains. First, the development of advanced statistical methods, with an emphasis on computational approaches such as machine learning, and artificial intelligence in a broader sense, for enhancing statistical modeling. Second, the application of these methods to neuroscientific, psychological, and medical research contexts.
Methodological knowledge
- Computational methods
- Supervised & Unsupervised Machine Learning
- Simulation-based methods
- R software
- Python
- Structural equation modeling
- Multivariate statistics
- Nonlinear modeling
- Bayesian statistics
- Causal inference methods
- Neuropsychological testing
- Psychometric methods
Methods I plan to learn and improve on:
- Deep Learning
- Neural Networks
- Neuroimaging analysis
- Network analysis
Teaching
I have been a Teaching Assistant at The University of Manchester for the following modules:
For BSc Psychology:
- Introduction to Statistics for Psychological Sciences
- Statistics and Data Analysis
- Foundations of Biological & Cognitive Psychology
- Forensic Psychology
For MSc Data Analytics and Social Statistics:
- Introduction to Statistical Modelling
- Data Cleaning and Visualisation using R
- Multilevel and Longitudinal Analysis
- Demographic Forecasting
- Structural Equation Modelling
For MSc Social Research Methods and Statistics:
- Strcutrual Equation and Latent Variable Modeling
- Theory & Method in Demography
Supervision information
My supervisors are Todd Hartman, Alex Kafkas, and Mark Shevlin.
My collaborations
I am collaborating with several researchers on different works, inlcuding: Richard Bentall, Satoshi Usami, Naoya Todo.
Memberships of committees and professional bodies
Education/Academic qualification
Master in Science, Social Statistics, The University of Manchester
Award Date: 1 Dec 2024
Bachelor of Science in Psychology
Award Date: 21 Jul 2021
External positions
Special Research Student, University of Tokyo
1 Jun 2025 → …
Research Beacons, Institutes and Platforms
- Cathie Marsh Institute
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