Pierre WEISS

I had the great chance of working with a few talented young researchers. Their names are added below for posterity.

Post-docs

• Florian Sarron (2024, within the Micro-Blind project): Optimizing optical microscopes.
  
• Axel Flinth (2018, within the OMS project): optimization of measures.
  Now, assistant professor at Umea University, Sweden
• Wenxing Zhang (2014, with J. Fehrenbach) : Finding structures in biological images.
  Now, associate professor at Chengdu University, China.
  

• Oihan Joyot (2024-2027, with F. Erdel) - Understanding dynamical systems in biology.
• Minh Hai Nguyen (2023-2026, with E. Pauwels) - Neural nets, MMSE and MAP for inverse problems.
• Nathanaël Munier (2022-2025, with E. Soubies) - Identifiability in inverse problems and data assimilation.
• Clément Cazorla (2021-2024, CIFRE with R. Morin and Imactiv-3D) - Deep learning for image analysis.
  Post-doc with J. Batut, D. Sanchez, C. Rouvière.
  
• Corbinian Schlosser (2021-2023, with M. Korda) - Optimal control with particle methods.
  Post-doc with F. Bach, high-school teacher in Germany
  
• Alban Gossard (2019-2022, with F. de Gournay) - Learning Sampling Schemes.
  Engineer at Go-Pro, post-doc in climate change modeling in Grenoble.
  
• Valentin Debarnot (2017-2020, with T. Mangeat) - Operator learning - Computational microscopy.
  Prix Maths-info 2022 académie des sciences et lettres de Toulouse. Post-doc with Ivan Dokmanic, then CPJ in Lyon
  
• Paul Escande (2013-2016, with J. Bigot) - Approximation and estimation of spatially varying blur operators.
  Prix Maths-info 2022 académie des sciences et lettres de Toulouse. Now, CNRS researcher.
  
• Nicolas Chauffert (2012-2015, with P. Ciuciu) - New sampling approaches with smooth trajectories in MRI.
  Now, professeur CPGE en région parisienne.
  
• Claire Boyer (2012-2015, with J. Bigot) - New sampling approaches with block constraints.
  Prix Adrien Gaussail 2016, Prix de thèse EEA Signal, Image, Vision 2016 . Now, MCF à l'université Paris 6.
  

Other PhD students I worked with

• Maximilian März, TU Berlin -- (G. Kutiniok)
• Carole Lazarus, CEA Saclay -- (P. Ciuciu, A. Vigneau)
  Grand prix de la chancellerie de Paris,
  
• Léo Lebrat (IMT Toulouse with J. Kahn, F. de Gournay)
  Now senior researcher in Australia
  
• Axel Flinth , TU Berlin -- (G. Kutinyok)
  Now assistant professor in Umea universit
  
• Ludivine Guillaume, ITAV Toulouse -- (V. Lobjois)
• Annaick Desmaison, ITAV Toulouse -- (B. Ducommun)
• Laurène Aoun, ITAV Toulouse -- (B. Ducommun)

Master 2 students

• Quoc Bao-Do, (Feb-September 2026): Smart microscopy
• Oihan Joyot, (Mar-July 2024, with F. Erdel and F. de Gournay): Parameter estimation from half-FRAP experiments
• Minh Hai Nguyen, (Jan-Aug 2023, with F. de Vieilleville and AGENIUM): Correcting micro-vibrations in satellites.
• Faisal Jayousi (February-August 2022, with F. de Vieilleville and AGENIUM) : Correcting microvibrations in satellites.
• Nathanaël Munier (February-August 2022, with E. Soubies) : Localizing sources.
• Bong Tze Yaw (March-Aug 2021, with E. Soubies) : Limits and performance in localization microscopy.
• Camille Castera (March-Aug 2018, with F. de Gournay) : Semi-infinite programming.
• Thomas Bonnafont (March-Aug 2017, with J. Kahn) : Learning spatially varying operators.
• Anh-Tuan Nguyen (March-Aug 2016, with J. Fehrenbach) : Blind deblurring.
• Paul Escande (Feb-Aug 2013, with F. Malgouyres) : Numerical approximation of spatially varying blur operators.
• Nicolas Chauffert (Feb-sept 2012, with P. Ciuciu) : Physically plausible compressed sensing in MRI.

Master 1 students

• Arman Hosseini (Jun-Sept 2025, with C. Jost): inferring the laws of stochastic dynamical systems (ant trajectories)
• Quoc-Bao Do (Jun-Sept 2025): analytical solutions of CNNs for inverse problems
• Thang Vo, (Jun-Sept 2023, with E. Soubies): Eigen-PSF extractor.
• Minh Hai Nguyen (Jul-Sep 2022): Product-Convolution Neural Networks.
• Dario Moed with RESTORE (Jul-Sep 2021): Automatic segmentation of large scale multispectral biological images.
• Landry Duguet with INNOPSYS (Jul-Sep 2020): dynamic programming for huge-scale image registration.
• Nicolas Duble AGENIUM-SPACE (Jul-Sep 2020): The SPOT-GEO challenge . We won the first prize.
• Valentin Debarnot (Jul-Sep 2016, with J. Kahn) - Measuring absorption coefficients from multi-SPIM images.
• Quentin Gey (Jul-Sep 2014, with J. Fehrenbach) - Linking nuclei anisotropy and mechanical stresses.
• Omar Dounia (Jun-Aug 2013, with J. Fehrenbach) - Structure tensors, denoising and improvement of a Fiji Plugin.
• Charlotte Emery (Jun-Aug 2012, with J. Fehrenbach & J. Bigot) - Rigid registration of 3D images.
• Paul Escande (Jun-Aug 2012) - Approximation and estimation of spatially varying blur operators.
• Emmanuel Soubies (Jun-Aug 2012) - 3D image segmentation with marked point processes.
• Matthieu Bouyrie (Jun-Aug 2011) - Deblurring in the presence of a spatially varying PSF.
• Claire Boyer (Jun-Aug 2011, with P. Ciuciu) - Reconstruction of 3D MRI images.
  

Other students

• Yann Delaporte (6 weeks in 2021) : Suprema of Gaussian processes and localization microscopy
• Landry Duguet (5 weeks in 2019) : blind inverse problems, Pierre-Jean Benard (6 weeks in 2019) : deep learning for detecting ellipses.
• Sandrine Bouguen (4 weeks in 2018): cell tracking, Gabriel Bathie (4 weeks in 2018): dynamic programming.
• Jean Eymerie (14 weeks in 2017): development of Fiji/Icy plugins. Morgan Gauthier (6 weeks).
• Bastien Kovac, Alexandre Le Guelvouit, Vincent Remenant (10 weeks in 2016): development of Fiji/Icy plugins.
• Maxime Taisant & Ali Rouwanne (4 weeks in 2016): segmentation & projection of measures with Wasserstein metric.
• Guillaume De Brito, Benjamin Font, Guillaume Rauffet (14 weeks in 2015): development of Fiji/Icy plugins.
• Léo Mouly (3 months in 2013 and 3 months in 2014) : development of the Fiji plugin VSNR.