cv
General information
| Name | Dinh-Viet-Toan Le |
| dinhviettoan.le@univ-lille.fr | |
| Website | https://dinhviettoanle.github.io |
Education
-
2022 - 2025 Lille, France
PhD in Computer Science
Algomus / MAGNET teams, CRIStAL, Université de Lille
Natural Language Processing Applied to Symbolic Music
- Scholarship ANR (French Research Agency): AI_PhD@Lille
- Music Information Retrieval
- Symbolic Music Analysis & Generation
- Defense and manuscript: see PhD
-
2020 - 2021 Paris, France
ATIAM Master's Degree (MSc)
IRCAM, Sorbonne Université
Acoustics, Signal Processing, Computer Science Applied to Music
- Machine learning applied to music
- Signal processing for music information retrieval
- Musical instruments acoustics
-
2018 - 2022 Toulouse, France
ISAE-SUPAERO Engineering Degree (MSc)
Institut Supérieur de l'Aéronautique et de l'Espace
Aerospace Engineering
- Computer science and Data science
- On-board systems
- Mechanics
- Signal processing
- Applied mathematics
-
2016 - 2018 Saint-Maur-des-Fossés,
France
Preparatory classes MPSI / MP*
Lycée Marcelin Berthelot
Mathematics / Physics
- Mathematics
- Physics & Chemistry
- Computer Science
Work
-
2024.04 - 2024.07 Taipei, Taiwan
Visiting Research Student
Music & AI Lab, National Taiwan University
Multi-track music generation
- Supervisor: Yi-Hsuan Yang
- Publication at IJCAI 2025
- Mobility scholarship granted by Région Hauts-de-France
-
2023.10 - 2023.10 Singapore
Visiting Research Student
AMAAI Lab, Singapore University of Technology and Design
Collaboration on a MIR survey
- Supervisor: Dorien Herremans
- Publication in ACM Computing Surveys
- Mobility scholarship granted by Campus France
-
2023.09 - 2024.12 Lille, France
Graduate Teaching Assistant
Université de Lille
Teachings in Computer Science (Licence 2)
- See teaching
-
2022.04 - 2022.09 Remote
Software Development Internship in Computational Music Analysis
Peachnote GmbH
Full stack development of a music theory app
-
2021.03 - 2021.07 Lille, France
Research Internship in Computational Music Analysis
Algomus Team, CRIStAL, Université de Lille
Analysis of orchestral texture in symbolic music
- Publication at DLfM 2022
-
2019.07 - 2019.08 Beynes, France
Skills
| Programming | |
| Code: Python, MATLAB, C, Java | |
| Machine learning: Pytorch, Sklearn, HuggingFace Transformers | |
| Web technology: Django, React | |
| Database: PostgreSQL, ElasticSearch | |
| On-board systems: Arduino, Raspberry Pi |
| IT | |
| Graphics: Adobe CC (Ps, Pr, Ai, Ae, Id) | |
| Deployment: Docker, GCloud | |
| Tools: Git, Jupyter, LaTeX |
Languages
| French | |
| Native speaker |
| English | |
| TOEIC (980/990) TOEFL iBT (106/120) |
| Vietnamese | |
| Fluent |
| Chinese | |
| Beginner |
Interests
| Music | |
| Computer-assisted music Composition of animated films soundtracks Tools: Steinberg Cubase, NI Kontakt Score engraving: Musescore, Sibelius, Lilypond | |
| Guitar, Piano, Violin | |
| CHAM classes (music-oriented classes) Trumpet and music theory classes | |
| Composition and arrangement (SATB choirs) | |
| Choir conducting |
| Scouting | |
| Scouts et Guides de France | |
| Scout leader for 8-11 year-old kids | |
| European First-Aid Certificate |