Teaching
In the past I have taught or developed:
 ETC3250/5250 Introduction to Machine Learning (100%) at Monash University,
 ETC5521 Exploratory Data Analysis (50%) at Monash University,
 ETC5512 Wild Caught Data (25%) at Monash University,
 ETC5523 Communicating with Data (100%) at Monash University,
 Introduction to R materials,
 STAT5002 Introduction to Statistics (50%) at The University of Sydney,
 STAT3012 Applied Linear Models (100%) at The University of Sydney,
 STAT906 Experimental Design (100%) at the University of Wollongong,
 MATH1013 Mathematical Modelling (50%) at The University of Sydney,
 MATH1005 Statistics (100%) at The University of Sydney,
and tutored various mathematics and statistics courses.
Materials
WildCaught Data
 Synthetic and Simulated Data Last taught in May 13, 2020
 The Language of Designed Experiments Last taught in May 20, 2020
 Introduction to Data Collection Methods Last taught in Mar 1, 2021
 Australian Census Last taught in Mar 22, 2022
 Australian Election Last taught in Mar 29, 2022
 Combining Australian Census and Election Data Last taught in Apr 5, 2022
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Communicating with Data
 Basic communication theory and practice Last taught in Jul 25, 2022
 Introduction to web technologies Last taught in Aug 1, 2022
 Communicating data with interactive web apps Last taught in Aug 8, 2022
 Data storytelling on the web Last taught in Aug 15, 2022
 Data tables Last taught in Aug 22, 2022
 Statistical model outputs Last taught in Aug 22, 2022
 Effective data visualisation Last taught in Aug 29, 2022
 Captivating statistical presentations Last taught in Sep 5, 2022
 Clearly communicating with code Last taught in Sep 12, 2022
 Stylishly communicating with code Last taught in Sep 19, 2022
 Narrative Last taught in Oct 3, 2022
 Visual Last taught in Oct 10, 2022
 Interactive Last taught in Oct 17, 2022
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Exploratory Data Analysis
 Initial data analysis Last taught in Aug 9, 2021
 Single variable Last taught in Aug 16, 2021
 Comparisons Last taught in Aug 30, 2021
 Model diagnostics Last taught in Sep 13, 2021
 Visual inference Part I Last taught in Oct 11, 2021
 Visual inference Part II Last taught in Oct 18, 2021
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Introduction to Machine Learning
 Overview Last taught in Feb 27, 2023
 Nonparametric regression Last taught in Mar 6, 2023
 Variable selection Last taught in Mar 6, 2023
 Regularisation Last taught in Mar 13, 2023
 Resampling Last taught in Mar 13, 2023
 Discriminant analysis Last taught in Mar 20, 2023
 Logistic regression Last taught in Mar 20, 2023
 Decision trees Last taught in Mar 27, 2023
 Tree ensemble methods Last taught in Apr 3, 2023
 knearest neighbours Last taught in Apr 17, 2023
 Dimension reduction Last taught in Apr 24, 2023
 Clustering Last taught in May 1, 2023
 Support vector machines Last taught in May 8, 2023
 Neural network Part I Last taught in May 15, 2023
 Neural network Part II Last taught in May 22, 2023
 Wrapup Last taught in May 22, 2023
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Workshop

Data Wrangling with R
Last hosted by the Statistical Society of Australia NSW Branch at 1/12/20 
Data Visualisation with R
Last hosted by the Statistical Society of Australia VIC Branch at 11/11/20 
Tidyverse and R Markdown Workshop
Last hosted by the International Biometrics Society Australasia Region at 1/12/19 
R Package & R Markdown Workshop
Last hosted by the Statistical Society of Australia VIC Branch at 19/11/19 
Statistical Methods for Omics Assisted Breeding
Last hosted by the Univeristy of Tokyo at 12/11/18