Angus Chan

Angus Chan

he/him

I am a PhD researcher at UCL Security and Crime Science, specializing in generating actionable insights through statistical modeling and machine learning in the security and crime domains. I am now seeking opportunities to apply my expertise as a data scientist.

Posts by Collection

portfolio

publications

Developing social Entrepreneurship as an intervention to enhance disadvantaged young People’s sense of self-worth and career competence in Hong Kong

Published in Applied Research in Quality of Life, 2021

Recommended citation: Tam, H. L., Asamoah, E., & Chan, A. Y. F. (2021). Developing social Entrepreneurship as an intervention to enhance disadvantaged young People’s sense of self-worth and career competence in Hong Kong. Applied Research in Quality of Life, 1-30. https://doi.org/10.1007/s11482-021-09917-7

The mediating effect of psychological strengths and resilience on enhancing youth employability through social entrepreneurship education and training

Published in Children and Youth Services Review, 2024

Recommended citation: Tam, H. L., Chan, A. Y. F., Fung, T. T. O., & Isangha, S. O. (2024). The mediating effect of psychological strengths and resilience on enhancing youth employability through social entrepreneurship education and training. Children and Youth Services Review, 156, 107325. https://doi.org/10.1016/j.childyouth.2023.107325

talks

teaching

Postgraduate Teaching Assistant

Security and Crime Science, University College London, 2022

Crime mapping module

Assisted in the Crime Mapping module for 100 undergraduates, guiding them in utilizing R for spatial analysis of crime. Provided in-class assistance and organised troubleshooting sessions using R tutorials created by the lecturer.

Quantitative methods module

Conducted workshops in the Quantitative Methods module for 50 undergraduates, assisting in mastering diverse statistical analyses using STATA and understanding foundational concepts like confidence intervals, hypothesis testing, and both linear and logistic regression. Provided in-class assistance to the lecturer.

Foundation of Security and Crime Science module

Led seminars for 40 undergraduates in the Foundations of Security and Crime Science module, introducing core concepts like problem-oriented policing and crowd policing through PowerPoints and discussions.

Research Consultant

Research project on crime reporting portal, London, UK, 2023

  • Collaborated with Salesforce and Merseyside Police in a research team, conducting an A/B test for an online crime reporting portal. Explored the impact of its design on participant satisfaction and concluded that user experience and trust in police predict satisfaction.
  • Produced a comprehensive 53-page report, incorporating findings from statistical tests (t-test, ANOVA, linear regression) and Natural Language Processing on participants’ qualitative feedback to produce wordclouds by using R and Python.