Teaching

Polytech Lyon

I teached in the Biomedical Engineer degree of Polytech Lyon to 1st year students

• Statistics for medical applications [from 2022 to 2024, total of 46 hours]
  • Course content: descriptive statistics, combinatorics, basics of probability, random variables, discrete and continuous probability distributions, and statistical tests.
  • Problem sessions to apply the concepts introduced in lectures
  • Lab sessions with Python Jupyter notebooks to put into practice the statistical concepts covered in problem sessions
• Lab sessions of signal processing [from 2022 to 2025, total of 18 hours]
  • Introduction to signal processing with Python and the NumPy package
  • Exploration of signal correlation and convolution, and Fourier transform with Python Jupyter notebooks

Summer School Deep Learning for Medical Imaging

I teached hands-on sessions during the 2022 and 2023 editions of DLMI Summer School to graduate students

• Deep learning for image segmentation [8 hours]
• Introduction to variational autoencoders [4 hours]
• Deep learning for image reconstrucion [4 hours]