Associate Professor Yan Wang
Details
College: School of Science
Department: School of Science
Campus: City Campus Australia
yan.wang@rmit.edu.au
ORCID: 0000-0003-1635-5554
Open to
- Masters Research or PhD student supervision
- Teaching provision
- Collaborative projects
About
Associate Professor Yan Wang is an academic in Mathematics and Statistics at RMIT University, with expertise in spatial statistics, stochastic modelling, statistical inference and their applications to complex real-world problems. Her academic work spans research, teaching, curriculum development and industry engagement, with a strong commitment to connecting statistical theory and methods with practical applications.
Through her research, teaching and external collaborations, Yan is committed to advancing statistical knowledge, fostering industry–university partnerships and preparing graduates with the analytical, professional and collaborative skills needed in an increasingly data-driven world.
Research fields
- 490508 Statistical data science
- 490507 Spatial statistics
- 490510 Stochastic analysis and modelling
UN sustainable development goals
- 11 Sustainable Cities and Communities
- 13 Climate Action
Supervisor projects
- Dynamics Point Processes in Ecological Modelling
- 7 Jan 2026
- Analysis of multi-source data study the characteristics of the extreme rainfall and temperature events
- 10 Sep 2025
- Convolutional Neural Networks for Estimating Spatial Log-Gaussian Cox Processes
- 9 Dec 2024
- Modelling temporal evolution in spatial ecology with dynamical point processes
- 7 Jul 2023
- Non-Parametric Estimation Techniques in High-Dimensional Dependence Modeling Using Factor Copula Models
- 3 Jul 2023
- Designs for Computer Experiments: Constructions and Properties
- 20 Jul 2022
- Discrete Choice Experiments: Constructions and Properties
- 21 Feb 2020
- Spatial Point Process Models for Species Distributions: Comparative Studies and Moment Approximations
- 23 Jul 2019
- Bayesian Inference in Ecological and Epidemiological Models
- 3 Aug 2018
- Efficient Three-Level Screening Designs
- 27 Feb 2017
- New Statistical Models for Multiple Species Distributions
- 22 Feb 2016
- Construction and Analysis of Experimental Designs
- 24 Sep 2015
- Stochastic Ecological Models for Predicting Species Distribution and Extinction
- 3 Mar 2014
Teaching interests
In teaching, Yan is committed to developing students' statistical reasoning, analytical capability and ability to apply quantitative methods to real-world challenges. She has contributed to curriculum development and the delivery of statistics and analytics courses, with an emphasis on active learning, authentic problem-solving and the integration of theoretical concepts with practical applications.
Yan provides academic leadership in Work Integrated Learning (WIL) across the School of Science and coordinates industry-connected projects in the Master of Analytics program. She has played a key role in developing and scaling collaborative WIL opportunities that bring together students, academic staff and industry partners. Her work focuses on strengthening industry engagement, supporting interdisciplinary projects and creating meaningful opportunities for students to apply their knowledge in professional settings.
Research interests
Her research focuses on developing statistical methodologies for analysing complex spatial and spatio-temporal data, particularly spatial point processes and stochastic models, with applications in ecology, environmental science and other interdisciplinary fields. She has contributed to collaborative research projects, including Australian Research Council-funded research, and supervises higher degree research students in statistical methodology and applied modelling.
