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  • Dr Bee Lam

    Dr Bee Lam

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    https://orcid.org/0009-0004-4935-1765
  • ORCiD profile

Dr Bee Lam

Senior Lecturer

Staff Member Details
Email: b.lam@ecu.edu.au
Campus: Joondalup
ORCID iD: https://orcid.org/0009-0004-4935-1765

Dr Bee Lam is a Senior Lecturer in Statistics and Mathematics in the School of Science at Edith Cowan University and the Course Coordinator for the Master of Data Science.

Current Teaching

  • MAT1114 – Introductory Statistics
  • MAT5212 – Biostatistics

Previous Teaching

  • MAT1108 – Foundations of Mathematics
  • MAT1252 – Mathematics for Computing
  • MAT1184 – Problem Solving and Modelling
  • MAT2439 – Mathematical Modelling
  • TCU140 – Introductory Applied Mathematics

Background

Dr Lam has over 20 years of teaching experience across statistics, mathematics, and data science in higher education. As Course Coordinator for the Master of Data Science, she provides academic leadership in curriculum development, course design, and quality assurance, ensuring graduates develop the analytical and professional skills required for contemporary data science careers.

Her scholarship focuses on the design and evaluation of learning technologies and simulation-based activities that support statistical thinking, data literacy, and quantitative reasoning. She has developed interactive web-based applications that use simulation and data visualisation to enhance student understanding of statistical and data science concepts.

Prior to joining academia, Dr Lam held senior roles in risk management and analytics within the banking and resources sectors, including positions with Deutsche Bank, BHP, and Bankwest. Her industry expertise in statistical modelling, risk analysis, and decision analytics informs her teaching and research, enabling her to bridge theory and practice through authentic, real-world applications.

Professional Service and Engagement

  • Member of the School of Science Curriculum Teaching and Learning Committee, contributing to curriculum quality, student learning, assessment practices, and continuous improvement across the School.
  • Member of the School of Science Course Consultative Committee, working with industry representatives to inform curriculum development, strengthen industry engagement, and ensure graduates are equipped with relevant and contemporary skills.
  • Member of the Review Panel for the Mathematics Education Research Group of Australasia (MERGA) Annual Conference 2026, supporting the advancement of research and scholarship in mathematics education.
  • Designed and delivered a motorsport-themed STEM outreach project as part of the School of Science STEM Learning Program, engaging secondary school students in authentic data collection and analysis through the design, racing, and performance evaluation of LEGO® Formula 1 cars.

Awards and Recognition

  • 2026: Vice Chancellor’s Citation for Outstanding Contributions to Student Learning

Professional Memberships

  • International Statistical Institute (ISI)
  • Australian Mathematical Society (AustMS)

Research Interests

  • Learning Analytics and Predictive Modelling
  • Student Success and Academic Risk Prediction
  • Data Science Education
  • Simulation-Based Learning
  • Educational Technology
  • STEM Education

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