2023

• 2023-02-15: “Extending and comparing methods for projecting social contact matrices”, Spark Spectrum Annual Meeting, Lightning Talk, Cape Schanck, Australia”

2022

• 2022-09-14: “Extendable projection of social contact matrices”, Invited seminar, University of Auckland
• 2022-09-13: “Extendable projection of social contact matrices”, New Zealand Research Software Engineering Conference
• 2022-07-28: “The Future of NA data”, rstudioconf
• 2022-06-23: “Reflections one year into working as a research software engineer”, UseR! 2022

2021

• 2021/12/22: “greta: scalable statistical modelling”, Early Career Bayes Seminar, Brisbane, Australia
• 2021/11/02: “Making Better Spaghetti (plots)"
• 2021/10/29: “Recognising research software in academia”, invited seminar, UNSW
• 2021/08/09: “Tangling is easy but untangling is hard. Some advice on exploratory data analysis for longitudinal data”, Invited talk, JSM

2020

• 2020/06/26: “The use of colour in graphics: A journey through the body & mind to the screen”
• 2020/02/14: “Data Data Data”, Invited Seminar at University of Washington, Seattle, USA
• 2020/02/12: “Data Data Data, Guest Speaker at Sage Bionetwords, Seattle, USA”
• 2020/01/29: “Making Better Spaghetti, Invited Speaker at rstudio::conf2020” [github] [video]
• 2020/01/17: “Data Data Data, NUMBAT Seminar, Monash University, Melbourne”

2019

• 2019/11/28: Exploring and understanding the individual experience from longitudinal data, or…How to make better spaghetti (plots), WOMBAT 2019, Melbourne

• 2019/11/21: Exploring and understanding the individual experience from longitudinal data, or…How to make better spaghetti (plots) (OzVis 2019, Brisbane (Keynote speaker)

• 2019/11/15: Exploring and understanding the individual experience from longitudinal data, or…How to make better spaghetti (plots) (Invited Seminar) ANU, Canberra

• 2019/10/02 Making better spaghetti plots: (Mark II), YSC, Canberra

• 2019/07/05 Making better spaghetti (plots), CSIRO, Canberra

• DMAC 2019: Intro to Missing Data

• 2019/01/09 Are we tere yet? Testing the effectiveness of graphics as MCMC diagnostics. Johns Hopkins, Baltimore, USA

2018

• 2018/10/23 RUCK: R Users Conference Korea (Invited Keynote speaker) “Empowering people with community, software, and peer review”.

• 2018/09/23: rOpenSci: Transforming science through open data and software

• 2018/08/27: Now you see it? Now you don’t? The role of graphics in identifying MCMC convergence HTML PDF

• 2018/08/22: Intro to Missing Data: DMAC

• 2018/07/31: Rethinking teaching statistical computing

• 2018/07/19: Now you see it? Now you don’t? The role of graphics in identifying MCMC convergence

• 2018/07/13: Find the best locations for facilities using maxcovr. Slides YouTube

• 2018/07/11: Intro to missing data visualistion

• 2018/03/19: rOpenSci ozunconf: Building communities to transform science

• 2018/02/15: Why is that missing, and what can we do about it? Tools for missing data and beyond, Genentech, San Francisco, USA

• 2018/02/13: Oh no, why is that missing? Practical tools for missing data, BARUGS, San Francisco, USA

2017

• 2017/08/25: ≥ 5 things you (maybe) didn’t know about the world of R and statistics

• 2017/08/04: UseR2017 summary

• 2017/07/26: Melbourne Maths and Science Meetup Missing Data Challenges, Melbourne, Australia

• 2017/07/13: USI Narnia: Data structures and functions for consistent exploration of missing data, USI, Lugano, Switzerland

• 2017/07/07: UseR! Narnia: Data structures and functions for consistent exploration of missing data, Brussels, Belgium

• 2017/06/30: Angletr “Narnia: Data structures and functions for consistent exploration of missing data” Anglet, France

• 2017/06/02: Wombat / MeDaScin Tidy Approaches to Missing Data, Melbourne, Australia

2016

• 2016/10/25: BURGr Reproducibility: Now you can, too! Reproducibility: Now you can, too!