Summary
Cécile Macaire is a postdoctoral researcher in Natural Language Processing at Université Grenoble Alpes with around a decade of research and engineering experience focused on speech and low-resource language technologies. Her work spans automatic speech recognition, speech-to-pictogram translation, temporal alignment of endangered language corpora, and query-by-example systems for creole documentation, blending applied engineering with linguistic sensitivity. She completed a PhD trajectory culminating in a dissertation on automatic speech translation into pictograms and built mobile and research tools—from an Android emotion-sensing app to neural models for lexical recognition. Based in Grenoble, she brings hands-on expertise in both supervised and unsupervised neural methods for under-resourced languages and a track record of turning field data into temporally aligned, analyzable resources. An unusual strength is her combination of practical app development and deep corpus work, enabling end-to-end solutions from data collection to usable language technologies.
10 years of coding experience
Bachelor of Science - BS, Mathématiques et Informatique Appliquées aux Sciences Humaines et Sociales (MIASHS), Bachelor of Science - BS, Mathématiques et Informatique Appliquées aux Sciences Humaines et Sociales (MIASHS) at Université de Bordeaux
Master's degree, Natural Language Processing, Master's degree, Natural Language Processing at Institut des sciences du Digital, Management et Cognition (IDMC)
English, French, Russian