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WilliamPLaCroix/README.md

William LaCroix

MSc Computational Linguistics (Language Science and Technology), graduating 2026
Based in Germany

Focused on applied NLP / ML engineering, with an emphasis on reproducible pipelines and model evaluation.

Current work

  • Master’s thesis on controllable text simplification using mixture-of-experts models
  • End-to-end pipeline development: data preparation → fine-tuning → evaluation
  • Emphasis on readability, grade-level control, and task-specific evaluation

Technical focus

  • Python, PyTorch, scikit-learn, pandas
  • Applied NLP and ML systems (training, evaluation, inference)

Contact

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  1. masters-thesis masters-thesis Public

    LaCroix 2026 - Precise, Grade-Specific Text Simplification via Weighted Adapter Merger

    Jupyter Notebook 1

  2. faerber-lab/CoDAE faerber-lab/CoDAE Public

    Yuan et al. 2025 - CoDAE: Chain-of-Thought Data Augmentation & Evaluation

    Python 1 1

  3. eye-tracking-classification eye-tracking-classification Public

    Project for Saarland University Winter Semester 2023-2024 Eye Tracking seminar

    Jupyter Notebook 1

  4. lst-cluster-info lst-cluster-info Public

    Intro guide for new LST students to get started on the HPC cluster

    Python

  5. Bookwurm Bookwurm Public

    Adaptive Language Reader blending Anki-style SRS reviews of Lingq-style texts, sorted by known tokens

    Python