# Julián Tachella

julian.tachella@cnrs.fr

I am a research scientist at the French National Centre for Scientific Research CNRS, working at the Sisyph laboratory, École Normale Supérieure de Lyon (Lyon, France). My research lies at the intersection of signal processing and machine learning. I am particularly interested in the theory of imaging inverse problems and applications in computational imaging.

I am a lead developer of the deep inverse, a library for solving inverse problems with deep learning.

**Open PhD and master positions** can be found here.

**Code** and videos related to my publications can be found here.

## news

Oct 23, 2023 | Our paper on binary learning has been accepted in TMLR with a Featured certification! |
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Oct 20, 2023 | We have two open master positions for next year. Find more details here. |

Sep 26, 2023 | Open postdoc position in multilevel unfolded networks for imaging inverse problems. Find more details here. |

Jul 6, 2023 | The UNLIP project will be funded by the ANR. Job openings are coming soon! |

Feb 18, 2023 | Accepted paper on efficient lidar sketching at ICASSP’23. |