Bio

I am currently a Research Fellow at the University of Queensland in Brisbane, Australia, where I work on the AusEnHealth project. My current work involves linking routinely collected mortality data to environmental and socioeconomic factors in order to understand spatial and temporal trends in the risk of poor health outcomes from our natural and built environment.

Immeditaly prior to that I worked as a Data Scientist at a tech company in the Netherlands, supporting online experimentation. I worked within an engineering-focussed team responsible for maintaining the colleague-facing side of the experimentation platform and assessing and reporting on experiment quality and impact. This also includes internal training on our culture of experimentation, the science behind it, and our use of sequential testing.

Prior to joining industry I was an Assistant Professor at the London School of Hygiene and Tropical Medicine, researching pneumococcal disease and vaccination and dengue fever under Dr Stefan Flasche and on SARS-CoV-2/COVID-19 as part of the CMMID COVID-19 Working Group. My teaching included module coordination and lecturer of 2491 - Data Challenge, lecturing in 2490 - Machine Learning, and demonstrating in a variety of quantitative modules for medical statistics and epidemiology students.

I worked as a Postdoctoral Research Fellow and Research Associate at Queensland University of Technology on a range of environmental and environmental health problems such as jaguar conservation, reef conservation, air pollution and its health impacts, and the prevention of the spread of Dengue fever.

In addition, I taught teach mathematics and statistics to first year science students in the unit SEB113 - Quantitative Methods in Science. In 2015, the SEB113 teaching team was the recipient of the Vice Chancellor’s Performance Award for innovation in redesiging the unit for student success through encouraging engagement with multiple technologies.

A list of key publications is available here, and a full list at Google Scholar and ORCID.

Education

My undergrad was in applied and computational mathematics (major) and applied physics (minor). I wrote my Honours thesis on fluid dynamics under the supervision of Dr Glenn Fulford and Dr Tim Moroney.

Between 2009 and 2013 I was a PhD student at the International Laboratory for Air Quality and Health under the supervision of Professors Lidia Morawska and Kerrie Mengersen and Dr Sama Low Choy, where I completed a thesis on spatio-temporal modelling of air pollution.

Research from my PhD and postdoctoral time with ILAQH has resulted in a number of papers looking at spatio-temporal modelling of urban air pollution with a view to estimating human exposure and modelling its health impact.

At LSHTM I completed a Postgraduate Certificate in Learning and Teaching (awarded by the University of London).

Software

Occasionally I publish useful code, including a package for tidying MCMC output from coda or rjags entitled mmcc, and a package to bring some of the common linear model diagnostics like variance inflation factors and tables of confidence intervals to GAMs from mgcv in mgcv.helper. My work on pre-vaccination testing for Dengue included publishing an R package (denvax) that demonstrates the use of our model.

I have also developed a handful of Shiny apps for investigating the dynamics of COVID transmission and quarantine, e.g. traveller screening