Ben John Maslen

I am a Lecturer in the School of Mathematics and Statistics at the University of New South Wales. My research sits at the intersection of statistics, machine learning, and environmental science, with a focus on developing methods that help ecologists monitor, assess and protect the natural environment. I work particularly with remote underwater video, ecological abundance data and multivariate study design, aiming to turn complex environmental data into reliable evidence for biodiversity monitoring and decision-making. I completed my PhD in Statistics at UNSW and CSIRO Data61 in 2025, where I developed statistical and AI methods for ecological monitoring. This work included movement-aware object detection for underwater video, the assessment of methods used to analyse these videos, and the development of a novel means to estimating fish abundance while accounting for imperfect detection using distance sampling. I have also developed a power-analysis tool to answer study design questions when collecting multivariate ecological data with an acompanying R package ecopower, which has been downloaded more than 14,000 times from CRAN. Before becoming a Lecturer, I worked for more than six years as a Statistical Consultant at UNSW Stats Central, supporting researchers and Higher Degree Research students with study design, statistical modelling and analysis. Across my research, teaching and consulting, I collaborate with ecologists, environmental scientists, other statisticians and data scientists to develop practical, reproducible methods that contribute to environmental resilience. methods: statistical, artificial intelligence, machine learning, computer vision, ecology, sample size, multivariate analyses