After completing a dual engineering degree in modeling and artificial intelligence, I pursued a PhD in the field of Music Information Retrieval. I aim to apply my skills in mathematics, computer science and artificial intelligence to projects that align with my values. In particular, I am committed to environmental issues and aspire to contribute to addressing the challenges of climate change (e.g. sustainable mobility, energy management, frugal AI). Passionate about music, I am also deeply interested in the development of new tools for musicians.
- Leveraging musical structure in deep learning for symbolic music processing.
- Training of models from the natural language processing domain (RNNs, Transformers) applied to musical data (music scores, MIDI).
- Publication of two scientific articles at international conferences in the music domain (cf. Publications section).
- Technical tools: Python, Pytorch.
- Thesis to be published soon. Contact me for access in the meantime.
- Apprenticeship as part of the ModIA dual‐degree program (cf. Education section).
- Investigation of gene–trait associations in sunflower through machine/deep learning model interpretability methods.
- Technical tools: Apache Spark, Scala, Python, Tensorflow.
- Leveraging musical structure in deep learning for symbolic music processing.
- Cf. Publications section.
- Thesis to be published soon. Contact me for access in the meantime.
- ModIA double degree, jointly delivered by the National Institute of Applied Sciences (INSA) of Toulouse and the National School of Electrical Engineering, Electronics, Computer Science, Hydraulics and Telecommunications (ENSEEIHT).
- Apprenticeship program, with a 50% of the time at INRAe (cf. Experience section).
- Mathematics and computer science courses focused on understanding, training, and using modern artificial intelligence models.
- Mathematics, computer science and operational research courses.
- Daily use of English.
- Scientific disciplines: mathematics, computer science, mechanics, physics, chemistry, thermodynamics.
- General skills: English, Spanish, communication skills.
French
Native.
English
Full professional proficiency (level C1).
Spanish
Level B2.
Programming
Python, R, Scala.
AI tools
Pytorch, Tensorflow, Scikit-learn.
Data science
Pandas, Numpy, Matplotlib.
Dev. tools
Git, Linux, Docker.
Music
Piano (15 years), guitar (3 years), violin (2 years), composition, arrangement, improvisation, leveraging tools used during my PhD to create musical content (
@le_opiano).
Dance
Rock and Roll, Lindy Hop, Boogie Woogie, West Coast Swing.
Circus arts
Member of an amateur circus troupe for 10 years, performances at various festivals, supervision of circus arts summer camps.
Self-hosting
Open-source development, homelab, Linux, Docker.
- Two-week humanitarian project in Ivory Coast.
- Leading recreational workshops at Le Prince orphanage.
- Construction of a 100 m² chicken coop for the host orphanage.
- Three-week humanitarian project in Cambodia.
- Leading recreational workshops in schools for deaf and/or visually impaired children, as well as in orphanages.