Associate Professor Yan Wang
Associate Professor
Details
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College: School of Science
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Department: School of Science
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Campus: City Campus Australia
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yan.wang@rmit.edu.au
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ORCID: 0000-0003-1635-5554
Open to
- Masters Research or PhD student supervision
- Teaching provision
- Collaborative projects
About
Yan Wang is an Associate Professor in Statistics at School of Science at RMIT. She has extensive experience in both teaching and statistics consultation with her research focusing on ecological modelling using statistical and machine learning methodologies.
From teaching first year statistics to a wide range of students coming from business, finance, economics, chemistry, bioscience, biochemistry, applied science, physics, enviromental science, food science and mathematics she has also developed and delivered advanced courses in statistical inference, multivariate analysis, predictive modelling and statistical learning/machine learning.
Due to the necessity of statistical techniques, she has carried out multi-disciplinary research with collaborators from a variety of disciplines: ecology, insurance, meteorology, public health, marketing, epidemiology and social science.
Her research interest has focused on ecological statistics and modelling, such as species distribution modelling and capture-recapture studies and her published papers sit within the top 5% of journals in the areas of ecological modelling and landscape conservation.
Yan is currently supervising PhD students and postdoctoral fellows on ecological modelling and consults across a range of universities in the statistics and modelling fields.
From teaching first year statistics to a wide range of students coming from business, finance, economics, chemistry, bioscience, biochemistry, applied science, physics, enviromental science, food science and mathematics she has also developed and delivered advanced courses in statistical inference, multivariate analysis, predictive modelling and statistical learning/machine learning.
Due to the necessity of statistical techniques, she has carried out multi-disciplinary research with collaborators from a variety of disciplines: ecology, insurance, meteorology, public health, marketing, epidemiology and social science.
Her research interest has focused on ecological statistics and modelling, such as species distribution modelling and capture-recapture studies and her published papers sit within the top 5% of journals in the areas of ecological modelling and landscape conservation.
Yan is currently supervising PhD students and postdoctoral fellows on ecological modelling and consults across a range of universities in the statistics and modelling fields.
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
- 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
- 14 Apr 2023
- Integrating Niches Interactions & Dispersal in Species Distribution Model
- 22 Dec 2022
- Designs for Computer Experiments: Constructions and Properties
- 20 Jul 2022
- Discrete choice experiments: Constructions and properties
- 21 Feb 2020
- Integrated Model for Joint Species Distributions
- 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
Elementary Statistics, Statistical Inference, Predictive Modelling, Multivariate Analysis, Regression Analysis.
Research interests
Spatial Point Process modelling, Species Distribution Modelling, Capture-recapture, Ecological Modelling with Machine Learning
