Maxime Baelde Avatar

Maxime Baelde, Ph.D

Senior Data Scientist | Machine Learning Engineer
Ph.D. in Artificial Intelligence
Music Producer @ MB Prod

About Me

I’m a Senior Data Scientist, with some experiences in digital audio processing, retail and digital marketing. I manage projects from start to finish, mainly: data analysis, model experimentation, training and serving.

My Ph.D. thesis was focused on real-time audio source localization, identification and separation. My supervisors were Christophe Biernacki (Scientific Deputy at Inria Lille) and Raphaël Greff (R&D Director at A-Volute).

I graduated from University Lille 1 (Ph.D. in Applied Mathematics, Master Research Applied Mathematics) and Ecole Centrale de Lille (Master Decision and Data Analysis).

I’m also a self-taught musician (guitarist, bassist, pianist) for about 10 years, mainly playing Progressive Metal musics (Meshuggah, Periphery, …) and Muse. I have a YouTube channel where I post guitar and bass covers of various songs. I also have a Bandcamp page for my solo music project Fracton. If needed you can stream my music from almost any platform like Spotify.

Finally, I’m a casual video game player, Nintendaddict (The Legend of Zelda series) and Switch player.

You can find my résumé here.

Skills & Experience

Machine Learning & AI

  • • Deep Learning (TensorFlow, PyTorch)
  • • Generative Models
  • • Reinforcement Learning (Stable Baselines3, Gymnasium)
  • • Signal Processing

MLOps & Cloud (GCP)

  • • Airflow, Docker
  • • BigQuery
  • • Cloud Storage
  • • Vertex AI

Software Engineering

  • • Python (Advanced)
  • • SQL
  • • API Development (FastAPI)
  • • Git, CI/CD

Teaching & Academia

  • • Statistics & Mathematics
  • • Machine Learning Tutoring
  • • Academic Writing

Intellectual Property

  • • Patent Research & Review
  • • Patent Writing

Business Contexts & Apply Domains

Digital Marketing & Retail

  • • Real-Time Bidding Models
  • • Sales Forecasting

Audio Engineering

  • • Consumer Electronics Audio Processing
  • • Industrial Audio Applications

Publications

2024

Maxime Baelde, Nathan Souviraà-Labastie, Raphaël Greff. “Apparatus and method for audio analysis”. US Patent US11956616B2, April 9, 2024.
[patent]

2023

Maxime Baelde, Laurent Mareuge, Julien Roland. “Système de reconnaissance et d’identification de sources sonores en temps réel”. French Patent FR3109458B1, August 26, 2022.
[patent]

2019

Maxime Baelde. “Modèles génératifs pour la classification et la séparation de sources sonores en temp-réel”. Ph. D thesis, Université de Lille, 2019.
[thesis]
Maxime Baelde, Christophe Biernacki and Raphaël Greff. “Real-Time monophonic and polyphonic audio classification from power spectra”. In : Pattern Recognition 92 (august 2019), p. 82-92.
[article]
Nathan Souviraà-Labastie, Maxime Baelde, Thomas Malet and Raphaël Greff. “Impact des conditions d’attaques sur les contre-mesures pour la reconnaissance du locuteur”. pre-print Gretsi.
[preprint]
Maxime Baelde, Nathan Souviraà-Labastie and Raphaël Greff. “Influence of the attack conditions on countermeasures for Automatic Speaker Verification”. pre-print Interspeech.
[preprint]

2017

Maxime Baelde, Christophe Biernacki, Raphaël Greff. “Classification de signaux audio en temps-réel par un modèle de mélanges d’histogrammes”. 49èmes Journées de Statistiques, June 2017, Avignon, France.
[paper]
“Real-time source sources identification”. Presentation at 7èmes Rencontres Jeunes Statisticiens, 5 April 2017, Porquerolles, France.
Maxime Baelde, Christophe Biernacki, Raphaël Greff. “A mixture model-based real-time audio sources classification method”. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5-9 Mar 2017, pp. 2427-2431, New Orleans, USA.
[paper] [poster]
“Real-time source sources identification”. Presentation at Modal’s Day on the first year of the thesis, 20 January 2017, Le Touquet, France.

2016

“Real-time identification, localization and separation of audio sources in multichannel audio streams, at ReSci : Acoustique, musique, et production sonore humaine ou animale”. Presentation at ANRT on the first 6 month of the thesis, 7 July 2016, Paris, France.
“Modélisation de spectres sonores par mélange de gaussiennes - Application à la reconnaissance de sources sonores”. Presentation for MASSICCC demo, 7 April 2016, Villeneuve d’Ascq, France.

2015

“Modélisation de filtres HRTF et optimisation pour le traitement de spatialisation sonore”. Master thesis, 2015, Université Lille 1.
[paper]

2014

Maxime Baelde, Jessica De Saedeleer, Jean-Pierre Hermand. “Experiment to evaluate musical qualities of violin strings”. October 2014, The Journal of the Acoustical Society of America, 136 (4), pp. 2284-2285.
[abstract]

Code

Here you will find some code I developped, available on Github.

Churn POC

I created an end-to-end project on a churn problem, from basic model training to API exposition using FastAPI.

VST Plugins

I have started to implement some audio processing effects in VST plugins.

Advent of Code

I have participated to the 2023 Advent Of Code.

GMM Binned Data

I implemented a GMM class that extends sklearn one to fit 1D binned data.

Music

I have my own mixing / mastering engineer business called MB Prod.

Here you will find some music I produced with my solo music project Fracton.