You can find a detailed version of my CV here

Employment History

  • Research Scientist, Therapixel 2019 – Present
    • deep learning
    • computer vision
  • Visiting Researcher Student, Stanford Summer 2018
    • main subject: “Event detection in PSG data with deep learning”
    • supervisor: Emmanuel Mignot
  • PhD candidate in machine learning 2015 – 2018
    • In parnership with Dreem and Télécom ParisTech
    • Main subject: “Processing EEG with deep learning algorithms”
    • Key fields: deep learning, transfer learning, domain adaptation
  • Machine learning intern, Dreem 2015 (2 months)
    • Design of a framework to benchmark several preprocessing techniques and classifiers jointly
    • Application to a time series classification task
  • Research intern Institut De la Vision 2014 (4 months)
    • Neuroscience internship on vision (retina)
    • Design of an non linear regressor applied to retinal spike trains decoding

Education Background


General skills
  • Languages: English, German, Spanish
  • Programming languages: Python, Matlab
  • Computer science: Latex, Bash, GitHub
Machine learning skills
  • General: scikit-learn, numpy, pandas, …
  • Deep learning: Tensorflow, Pytorch, Keras