Dominique Makowski is an assistant professor and clinician-scientist specializing in the psychology and neurocognition of reality perception, leading the Reality Bending Lab at the University of Sussex. Trained as a clinical neuropsychologist and CBT psychotherapist with a PhD from Université Paris Descartes, she studies phenomena from deception and fake news to altered states like meditation and immersive fiction. She blends rigorous experimental design with open-source tooling—contributing to notable projects such as NeuroKit2 and the easystats ecosystem where she enhanced both analytics and front-end UX. Having secured competitive funding and led teams through her NTU presidential fellowship, she is equally comfortable managing labs, mentoring students, and shipping reproducible analysis pipelines. Outside academia she’s known for a playful curiosity (and a fondness for pizza), which surfaces in interdisciplinary, human-centered research.
11 years of coding experience
Doctor of Philosophy (Ph.D.), PSYCHOLOGY, Doctor of Philosophy (Ph.D.), PSYCHOLOGY at Université Paris Descartes
Certified CBT Psychotherapist, Psychotherapy, Certified CBT Psychotherapist, Psychotherapy at French Association for Cognitive-Behavioral Therapy (AFTCC)
Bachelor of Arts - BA, PSYCHOLOGY, Bachelor of Arts - BA, PSYCHOLOGY at Université Paris Cité
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Role in this project:
Back-end Developer
Contributions:2 releases, 121 reviews, 3022 commits in 3 years 1 month
Contributions summary:Dominique's commits show improvements to existing ECG processing features within the NeuroKit2 library. The contributions primarily focus on enhancing the documentation of existing functions, including the addition of new features and improved code organization. The user appears to be involved in the maintenance and improvement of the package, making their primary focus backend-related.
Contributions:1 review, 209 commits, 4 PRs in 3 years 7 months
Contributions summary:Dominique contributed to the `easystats` R package, focusing on the development and maintenance of functions related to statistical analysis and data visualization. Their commits include adding and modifying core functions like `hello()`, installing the easystats suite, and merging contributions. They worked on generating figures using `ggplot2` and the `see` package for data visualization related to a research paper, modifying and adding to the plotting functions. Additionally, they addressed typos in documentation and made other minor adjustments.
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