Summary
Michael Goodale is a cognitive science researcher and computational linguist pursuing a Master’s at École Normale Supérieure with 11 years of research experience bridging psycholinguistics and NLP. He studies how deep neural networks represent linguistic structure, producing work on adjective representations in LLMs presented at BlackboxNLP (EMNLP 2021) and at ESSLII’s Bridges and Gaps workshop. His background spans academia and industry—phonological representation in unsupervised speech models, BERT-based pipelines and automated dataset creation at Nuance, and experimental work with fMRI/EEG and web tools—so he moves fluently between theory, data, and engineering. Michael combines rigorous experimental methods with practical engineering (Django, Neo4j, Python) to probe whether neural models mirror human syntactic and phonological computations. He is based in Paris and brings a rare mix of linguistic insight and hands-on ML tooling that can both test cognitive hypotheses and scale NLP experiments.
11 years of coding experience
1 year of employment as a software developer
Master's degree, Cognitive Science, Master's degree, Cognitive Science at Ecole normale supérieure
Bachelor's degree, Cognitive Science, 3.9/4.0, Bachelor's degree, Cognitive Science, 3.9/4.0 at McGill University
English, French