Rate My Professor Robert Maillardet

Dr. Robert Maillardet is a Tutor and Lecturer in the School of Mathematics and Statistics, Faculty of Science, at the University of Melbourne. His primary research interest is stochastic processes, with expertise spanning probability and statistics. Actively engaged in learning and teaching innovation, Maillardet contributes to enhancing educational practices in mathematical sciences through technological pilots and interactive tools.

Maillardet co-authored the textbook 'Introduction to Scientific Programming and Simulation Using R, Second Edition' (CRC Press, 2014), with Owen Jones and Andrew Robinson, which teaches programming and stochastic modelling via practical R code and data experimentation. Key publications include 'A Technology Pilot for Small Group Teaching of Statistics' (Australian & New Zealand Journal of Statistics, 2025), evaluating tech-enabled statistics tutorials, and 'Confidence intervals and replication: Where will the next mean fall?', addressing inference in replication studies. He developed the Residual Risk of Blood Borne Virus Report Generator, a tool for estimating undetected infection risks in quarantine scenarios, collaborating with Jonathan Knott. His Google Scholar profile reflects over 500 citations, indicating impact in probability and stochastic processes. Maillardet lectures courses such as MAST20005, receives positive student feedback, and has contributed to projects like Conceptual Learning with Interactive Applets and statistical literacy for critical thinking with data. Earlier work includes contributions to ICOTS 5 (1998) on statistics education.