Who I am

I am a data scientist and doctoral researcher at the University of Cambridge with experience in secondary data analysis and machine learning. I specialise in neurodevelopment and education; my projects investigate individual differences in childhood learning, cognition, and mental health. I also work with generative network models with the goal of modelling brain connectivity and topology.

Education

PhD in Computational Neuroscience and Adolescent Development

University of Cambridge | Oct 2024 – Ongoing

  • Researching development across adolescence.
  • Using machine learning and computational modelling to analyse secondary data.
  • Focus on individual differences and transdiagnostic approaches.
  • Exploring how neural connectivity supports cognitive change over time.

BSc Psychology - First Degree with Honors

University of Bristol | Sept 2021 – June

  • Educated in transdiagnostic research and neurodevelopmental disorders.
  • Completed a research project investigating cumulative culture using a 3D virtual experimental setup programmed in C#.
  • Explored advanced statistical methods in developmental science, including network analysis and machine learning techniques.

Professional Experience

Computational

Machine Learning Engineer

Weaving Change, Bristol | Jun 2024 – Oct 2024

  • Appointed full-time to develop an Outfit Recommendation Algorithm for the 'Swerv' mobile app following a £50,000 grant from the MyWorld Creative Industries in AI programme.
  • Harnessed cutting-edge machine learning technologies to create a custom ML architecture, gaining valuable experience in data collection, cleaning, analysis, and model evaluation.
  • Collaborated with a talented team using the agile development framework to successfully create and evaluate the model over a 3-month period.

Computational Research Internship

Dr. Edwin Dalmaijer, University of Bristol | June 2023 – July 2023

  • Programmed a procedurally generated 3D map using C# and Unity.
  • Designed a generative algorithm to enable the rapid creation of complex virtual environments.
  • Developed software to facilitate non-technical users in producing VR experiments for research applications.
  • Integrated this tool into a dissertation project on cumulative culture and navigation.

Virtual Reality Software Engineering Placement

InReality Ltd | June 2019 – July 2019

  • Developed virtual reality health and safety training software using C# and Unity.
  • Enhanced perception and user experience in large-scale VR projects.
  • Collaborated with a multi-disciplinary team to optimize virtual environments for navigation research.

Full Stack Web Developer – Beat this Together Charity Website

Beat this Together | April 2023 – July 2024

  • Developed a blog for a Bristol-based eating disorder awareness charity using Django.

Research

Research Assistant – Implicit Gender Attitudes Study

Dr. Bruce Hood, University of Bristol | May 2023 – Nov 2023

  • Programmed experiments using PsychoPy with JavaScript integration for web-based deployment.
  • Conducted data analysis, built pilot experiments, and researched background literature.
  • Used R and Python for data wrangling and statistical analysis.

Qualitative Research Project – 'What does it mean to be happy?'

Bristol Futures Festival | July 2021 – September 2021

  • Conducted qualitative data analysis and interviews on subjective interpretations of happiness.
  • Used thematic analysis to identify commonalities and generate participant sub-groups.

Teaching

Book Contract: 'An Introduction to Using C# and Unity in Psychological Science'

Co-authoring with Dr. Edwin Dalmaijer | October 2023 – Ongoing

  • Writing a book aimed at psychology students interested in building 3D virtual experiments.
  • Simplifying advanced computational concepts for psychology students.
  • Teaching how to develop software applications using Unity and C#.

Demonstrator for the R Programming Language for Multivariate and Linear Statistics

University of Cambridge | December 2024 – February 2025

  • Assisted in a class demonstrating R and advanced statistical methods in the social/cognitive sciences.
  • Guided students through implementing multivariate and linear statistical techniques in R.
  • Provided support for data analysis tasks, troubleshooting errors, and clarifying key statistical concepts.
  • Assisted with coding exercises and methodological explanations to enhance practical learning.

Teaching Assistant – Special Educational Needs Secondary School

Teaching Personnel, Bristol | October 2022 – April 2023

  • Worked in a school specializing in behavioural and neurodevelopmental disorders.
  • Supported students with ADHD, autism, learning difficulties, and attachment disorders.
  • Assisted individual students daily, adapting teaching strategies to their unique needs.
  • Developed insights into transdiagnostic approaches and personalized learning support.