I am working on my PhD at the Murdoch Children's Research Institute with the Speech & Language Group and Generation Victoria (GenV). My PhD investigates early predictors and causal mechanisms of language disorder and difficulties. I am using data from large, population-based cohorts and using machine learning statistical methods to achieve these research goals. My most recent publication can be found here.
I am the Natural Language Processing Engineer at Redenlab, a US-Australian speech neuroscience and analytics company, enhancing how to measure communication in clinical trials & healthcare research. We are developing methods for automated linguistic analysis of spoken language samples.
I volunteer with The DLD Project, which provides evidence-based Developmental Language Disorder (DLD) information, resources and training in Australia. We have created guidelines for how to create accessible research summaries for the DLD community (here).
I am the Data Manager with MetaLab, a database of community-augmented meta-analyses in cognitive development research and interactive tools for exploring them. We published a tutorial on how to conduct transparent, reproducible meta-analyses (here).
I completed a Bachelor of Arts with Honours at The University of Melbourne, majoring in Linguistics and German. I wrote my Honours thesis on how children connect and evaluate events in their narratives.
I completed a Erasmus+ Mundus Joint Master’s Degree programme in Clinical Linguistics (EMCL+) at the University of Eastern Finland, University of Groningen, University of Potsdam. My Master's thesis was a meta-analysis on infants' language discrimination abilities.
I spent 3 years working as a Research Assistant for GenV, a birth and parent cohort recruiting for 2 years across the entire state of Victoria, Australia. I project managed GenV's grant applications, including a successful $10 million philanthropic grant and two successful Medical Research Future Fund (MRFF) grants totaling $9.5 million.