Thank you for your interest in my application. Below, I have selected a handful of recent examples of my work which you may like to take a look at. Above each example, I briefly describe what capabilities it is most relevant for, as I presume you do not intend to look at everything - you can pick what you would find most relevant or interesting!

Survey-based research, data visualization

I recently wrote-up the first in a potential series of papers covering a survey about user perceptions of the long-term effects of MDMA. I ran this project with only 50 euros of funding from the university and reached out to various organizations to help spread the word to reach approximately 900 valid respondents. This is probably the most directly relevant paper in terms of showing survey results and my reasoning about what can and cannot be interpreted from such findings (e.g., limits of a convenience and potentially biased sample, causal inferences). I also have developed several novel visualizations of the findings with the intention of increasing engagement with the article when it is published. The full article can be downloaded here. An example visualization is presented below.

Statistical methods, testing ‘nudge-like’ interventions, open science practices

I recently completed a project using online data-collection platform MTurk, to assess the extent to which a minor cognitive manipulation (simply asking participants to imagine betting on whether an event would happen in reality) might impact different beliefs in relation to threats posed by feared stimuli. The results use inference based on Bayesian estimation of effect sizes, a partial hierarchical structure (nesting repeated observations within participants), and also show my commitment to open science practices such as open data and pre-registration, as well as testing the sensitivity of findings to different inclusion criteria. In combination with further research done by myself and others, the findings suggest that fearful individuals might have quite malleable beliefs regarding the objective threats posed by their feared stimuli, but remain concerned about how subjectively terrible an encounter would be. The article can be found here.

Adapting visualizations for clearer communication in animal welfare research

I recently reached out to animal advocacy/research organization Faunalytics to help improve their data communication in a report of beliefs about chicken and fish welfare. The original PDF report shows multiple separate bar charts for different sets of correlations spread over 14 pages, which are not very visually appealing and also hinder comparison across items. My proposed alternative visualizations, which are now featured in the supplementary materials for the report, condense the data down into two more visually pleasing plots, each of which only take 1 page of space (1 for chicken items, one for fish items).

Interactive visualization

People are reportedly more engaged by findings that they can explore dynamically, rather than view statically. Though not directly presenting research data. I have been developing skills in interactive visualization using R Shiny. An example is presented below, allowing a user to visualize in various different ways a range of musical scales and chords either on a guitar fretboard or keyboard. Though it may not seem like it, this visualization is actually an interactive graph, and the skills used to create it can be easily extended to dynamically present data/plots of important findings.