CV
Education

Ph.D - Natural Language Processing (NLP) / Computer Science

Since Nov. 2021 - at Université Grenoble Alpes (UGA), Laboratoire d'Informatique de Grenoble (LIG), GETALP team, Grenoble, France

MSc - Natural Language Processing (NLP)

Sept. 2019 - Sept. 2021 at Institut des Sciences du Digital (IDMC), Université de Lorraine, Nancy, France

BS - Mathématiques et Informatique Appliquées aux Sciences Humaines et Sociales (MIASHS)

Sept. 2017 - June 2019 at Université de Bordeaux, Bordeaux, France

DUT - Computer Science

Sept. 2015 - June 2017 at Université de Bordeaux, Bordeaux, France

Experience

Ph.D Candidate in Natural Language Processing (NLP)

Since Nov. 2021 - at Université Grenoble Alpes (UGA), Grenoble, France

Thesis subject: "Automatic Speech Translation into pictograms"
• Development and training of AI/NLP models for Automatic Translation and Automatic Speech Recognition.
• Implementation of a model evaluation protocol and analysis of the results.
• International scientific collaborations (JSALT 2022 Workshop, ANR Projects).

Temporary lecturer in Database

Jan. - April 2022 at IUT2 - Université Grenoble Alpes, Grenoble, France

• Teaching the Database module to six groups of students in their second year of DUT (University Technology Diploma).
• Preparation and organization of pedagogical content throughout the semester.
• Student monitoring and assessment of learning outcomes.

Research Intern

From March, 2021 to August, 2021 at CNRS - Centre national de la recherche scientifique / Lacito (UMR7107), Villejuif, France

Master's thesis: "Recognizing lexical units in low-resource contexts with supervised and unsupervised neural networks"
• Adaptation and training of recent neural models for Automatic Speech Recognition in two rare languages.
• Dissemination of results at national (LIFT, TALN) and international conferences (ACL).

Research intern

June - Aug. 2020 at CNRS - Centre national de la recherche scientifique / Lacito (UMR7107), Villejuif, France

• Temporal alignment between transcriptions and audio of Japhug language data (Pangloss collection) using speech recognition tools.
• Addition of temporal information in transcriptions.

Research intern

April 2017 - June 2017 at University of Sunderland, Sunderland, UK

• Design and development of an android application to measure a person's sensitivity to different emotions from facial expressions.
• Visualization and interpretation of the results.

Skills
Programming languages:
  • Python
  • JAVA
  • HTML
  • CSS
  • AngularJS
  • Bash
  • PHP
  • Javascript
  • Latex, Beamer

Libraries:
  • Pytorch
  • Transformers
  • HuggingFace
  • Fairseq
  • NLTK
  • Pandas
  • SpaCy
  • Gensim
  • scikit-learn
  • NumPy
  • Matplotlib

AI Models and Techniques
  • LLMs
  • Pre-training, Fine-tuning, Transfer Learning
  • High-performance computing (HPC) - Jean-Zay, GPUs

Operating systems:
  • Unix
  • Windows

Software:
  • Anaconda
  • Versioning tools (Git)
  • PyCharm
  • Microsoft Office Suite
  • IntelliJ IDEA
  • Android Studio
  • Eclipse
  • Praat

Languages
  • French (Native)
  • English (C1)