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Matthieu Brucher

Also known as mbrucher

Matthieu Brucher is a computer scientist whose early work includes scikit-learn, the Python machine-learning library. He joined the project through his thesis and coauthored its 2011 Journal of Machine Learning Research paper on supervised and unsupervised learning. He wrote books on scientific Python and machine-learning systems, worked at Total as an information systems engineer, and led development of Audio ToolKit, a real-time audio signal processing library. By 2018, he worked in JPMorgan's quantitative research branch on high-performance computing and computational modeling.

Works
10
Citations
69,587
h-index
3

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2007

    Joining scikit-learn

    Scikit-learn begins as David Cournapeau's Google Summer of Code project in 2007, and Brucher starts working on it for his thesis in 2007. A Supélec-trained engineer, he works on image processing at Université Louis Pasteur in Strasbourg and helps develop Python tools known as scikits.

  2. 2008

    Python for scientists

    In 2008, Éditions ENI publishes Python: les fondamentaux du langage, la programmation pour les scientifiques, his book on Python programming for scientists.

  3. 2011

    The scikit-learn paper

    In 2011, he coauthors “Scikit-learn: Machine Learning in Python” in the Journal of Machine Learning Research with Fabian Pedregosa, Gaël Varoquaux, David Cournapeau and colleagues. The paper describes a Python module for supervised and unsupervised learning, with an aim of bringing machine learning to non-specialists.

  4. August 2014

    ATKLimiter and Audio ToolKit

    In August 2014, he releases ATKLimiter, a free limiter plug-in for Windows and Mac, and updates his compressor and expander plug-ins. Audio ToolKit, the DSP library behind them, uses a threaded-pipeline design.

  5. By 2018

    A PhD and music degree

    By 2018, he holds a PhD in machine learning and signal processing from the University of Strasbourg, master's degrees in digital electronics and signal processing and in automation from the University of Paris XI and Supélec, and a Master of Music degree from Bath Spa University.

  6. 2018

    Building Machine Learning Systems

    Packt publishes the third edition of Building Machine Learning Systems with Python in 2018, coauthored with Luis Pedro Coelho and Willi Richert. It covers recent developments and widely used datasets and libraries, and explores machine and deep learning techniques using scikit-learn and TensorFlow.

  7. By 2018

    Quantitative research at JPMorgan

    He works as an information systems engineer at Total, with interests in machine learning, HPC and simulation. By 2018, he works in JPMorgan's quantitative research branch as a computer scientist specializing in high-performance computing and computational modeling. He leads Audio ToolKit development, a library for real-time audio signal processing.

Career

  1. TotalInformation system engineer
  2. JPMorgan ChaseComputer scientist

Education

  1. SupélecMaster's degree in automation
  2. Université Paris-SudMaster's degree in digital electronics and signal processing
  3. University of StrasbourgPhD
  4. Bath Spa UniversityMaster of Music

From the biography.

Most-cited works

  1. Scikit-learn: Machine Learning in Python2012 · 69,582 citationsWith Alexandre Passos, Bertrand Thirion, David Cournapeau, Fabian Pedregosa, Matthieu Perrot and Olivier Grisel
  2. A Metric Multidimensional Scaling-Based Nonlinear Manifold Learning Approach for Unsupervised Data Reduction2008 · EURASIP Journal on Advances in Signal Processing · 5 citations
  3. 3D common-offset CRS stack: Simplified formulation and application to Foothills data2013 · Second International Meeting for Applied Geoscience & Energy · 3 citations
  4. Benchmark of Amplitude Preserved Imaging Algorithms Using Large Scale Synthetic Data2011 · Proceedings · 0 citations
  5. Représentations compactes et apprentissage non supervisé de variétés non linéaires: Application au traitement d’images2008 · 0 citations

From OpenAlex, as of 21 October 2026.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes JPMorgan Chase. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Université Paris-Sud. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Université Paris-Sud. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. 11% of AI doctorate holders from 2010 to 2016 founded or led a company or lab by 10 years after graduationIncludes Université Paris-Sud. We estimate how often AI doctorate holders founded or led a company or lab by 10 years after graduation, how waiting times compare between founders and top jobs, and which universities trained the most.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. About us — scikit-learn 1.9.1 documentation scikit-learn.org. Checked 21 October 2026.
  2. Brucher, Matthieu (1981-....) idref.fr. Checked 21 October 2026.
  3. Notice bibliographique Python : les fondamentaux du langage, la programmation pour les scientifiques / [Matthieu Brucher] | Catalogue général | BnF catalogue.bnf.fr. Checked 21 October 2026.
  4. Scikit-learn: Machine Learning in Python jmlr.org. Checked 21 October 2026.
  5. ATKLimiter free limiter plugin released by Matthieu Brucher rekkerd.org. Checked 21 October 2026.
  6. Profile - matthieu-brucher - JUCE forum.juce.com. Checked 21 October 2026.
  7. GitHub - PacktPublishing/Building-Machine-Learning-Systems-with-Python-Third-edition: Code repository for Building Machine Learning Systems with Python Third Edition, by Packt github.com. Checked 21 October 2026.
  8. Building Machine Learning Systems with Python - Third Edition — Ebookpoint ebookpoint.pl. Checked 21 October 2026.
  9. Matthieu Brucher - Google Scholar scholar.google.com. Checked 21 October 2026.