Job description

After doing a research master's, I became a PhD student and graduate teaching assistant in Psychology at Lancaster University. In my thesis, I investigated how conceptual processing—that is, the comprehension of the meaning of words—is supported by linguistic and sensorimotor brain systems, and how research on this topic is influenced by methodological aspects such as the operationalisation of variables and the sample size of experiments.

Currently, I am a postdoctoral fellow at the Department of Language and Culture, and specifically within the PoLaR Lab and the AcqVA Aurora Centre. As a member of the LESS Project (Language Economy through Transfer Source Selectivity), I investigate how language learners coordinate several languages ​​​​​​​​​​​​​​​​early in the acquisition process, how this process is influenced by the characteristics of the languages, and how the process is reflected in the brain. Earlier, I also worked part-time as a data analyst in the CLICK Project (Cross-Linguistic Influence of Competing Knowledge), which investigates multilingualism in heritage speakers.

I am also interested in other topics, such as the origins and evolution of language, and the relationship between language and other cognitive domains. Throughout my research, I have used methods such as behavioural and electroencephalographic experiments, corpus analysis, statistics and programming.

The materials from my research are available at https://osf.io/25u3x.

 

In addition to my publications, I have shared some short essays, tutorials, presentations, and functions for data analysis in R, such as the following ones.

• Discussion of Jost et al. (2019)

• Discussion of Labotka et al. (2023)

• Preprocessing the Norwegian Web as Corpus (NoWaC) in R

• An inline script for OpenSesame to send EEG triggers via the serial port

• How to correctly encode triggers in Python and send them to BrainVision through serial port (useful for OpenSesame and PsychoPy)

• Simultaneously sampling from two variables in jsPsych

• Assigning participant-specific parameters automatically in OpenSesame

• Intermixing stimuli from two loops randomly in OpenSesame

• Specifying version number in OSF download links

• A table of results for Bayesian mixed-effects models: Grouping variables and specifying random slopes

• Modality switch effects emerge early and increase throughout conceptual processing: Evidence from ERPs

• Review of the Landscape Model of reading: Composition, dynamics and application

• Bayesian workflow: Prior determination, predictive checks and sensitivity analyses

• Open data and reproducibility: R Markdown, dashboards and Binder

• Open data and reproducibility v2.1: R Markdown, dashboards and Binder

• Avoiding (R) Markdown knitting errors using knit_deleting_service_files()

• Mixed-effects models in R, and a new tool for data simulation

• Towards reproducibility and maximally-open data

• How to engage Research Group Leaders in sustainable software practices

• Incentives for good research software practices

• Why can't we be friends? Plotting frequentist (lmerTest) and Bayesian (brms) mixed-effects models

• Covariates are necessary to validate the variables of interest and to prevent bogus theories

• Naive principal component analysis in R

• Parallelizing simr::powercurve() in R

• Pronominal object clitics in preverbal position are a hard nut to crack for Google Translate

• Assigning participant-specific parameters automatically in OpenSesame

• Intermixing stimuli from two loops randomly in OpenSesame

• How to break down colour variable in sjPlot::plot_model into equally-sized bins

• How to map more informative values onto fill argument of sjPlot::plot_model

• Event-related potentials: Why and how I used them

Last, I have developed a few web applications, such as the following ones.

• Dutch modality exclusivity norms

• Modality switch effects emerge early and increase throughout conceptual processing

• Simulation of experimental data

• WebVTT caption transcription