about

In General
I am a data scientist with a key focus on Natural Language Processing (NLP) and  end-to-end data pipelines, from ingestion to visualisation. My work includes building and training predictive models and dashboards that drive data-informed decisions.
I am passionate about open science and open-source software and contribute to projects that make technology more accessible and collaborative. Outside of NLP I greatly enjoy exploring the intersection of technology and creativity through Raspberry Pi projects as well as 3D modelling and printing.
If you have any questions, you can contact me here.
Publications

Chopard, T., & Rawlings, D. (2025, September). Generalizable BERT-Based Cross-Media Sexism Classification. In CEUR Workshop Proceedings (Vol. 4038, pp. 1858-1865).
Chopard, T., & Rawlings, D. (2025, September). Enhancing Presence-Absence Prediction Models Using Presence-Only Data. In CEUR Workshop Proceedings (Vol. 4038, pp. 2969-2978).
Rawlings, D., & Chopard, T. (2024). Exploring biodiversity: A multi-model approach to multi-label plant species prediction. In 25th Working Notes of the Conference and Labs of the Evaluation Forum, CLEF 2024 (pp. 2188-2200). CEUR Workshop Proceedings.

This Site
Framework
This website was built with Hugo which is a great free, open source static website generator. The theme used was written by me, with the source code available in a codeberg repository.
Colors
The style takes inspiration from TUI applications (Text-based User Interface, or sometimes Terminal User Interface) and uses the gruvbox color scheme, my go to for text editors.