Research areas
Visual data analysis and synthesis
Generative and predictive AI.
Modeling and explainability
Modeling highly non-linear data, machine learning, deep learning, interpretability.
Cognitive neuroscience
Visual perception, facial attractiveness, social cognition.
Academic background
Recent publications
Conference talks
2024 · International evolutionary biology conference
2024 · AI in ecology workshop — Ecostats
2022, 2023 · Invited speaker
2024 · PhD defense
Reproducibility
Public scientific code and protocols
A selection of repositories where methods, analyses and documented limitations can be inspected directly.
Network sparsity and aesthetic judgments
Python and R scripts associated with the article published in PLOS Computational Biology. View the GitHub repository.
Childhood factors and dementia in SHARE
Reproducible Python/R pipeline with synthetic tests; SHARE microdata and private labels are not published. View the GitHub repository.
Predictive modelling of hallucinations
Dated public mirror of the analysis protocol and falsification criteria; the development repository remains private. View the GitHub repository.
Contact
For a scientific collaboration, conference, training session or discussion about my research.