I received the B.Sc. and M.Sc. degrees in bioengineering from the Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland, in 2016. I obtained my PhD in Electrical Engineering at EPFL under the supervision of Dr. Emmanuel Soubies and Prof. Michael Unser (Biomedical Imaging Group). During 2 years, I worked at the Massachussets Institute of Technology as a postdoctoral researcher in the Optics group (Prof. George Barbastathis).
I am currently an R&D engineer in computational imaging at the Center of Imaging at EPFL.

I work in the field of computational imaging, with a special focus on biomedical imaging, deep learning, and optics.

Research Interests

Deep-Learning aided computational microscopy

Deep-learning based techniques for reconstructing 3D real images in microscopy ($e.g.,$ deconvolution).
Collaboration with Carl Zeiss

Optical diffraction tomography

Reconstruction of 3D volume of refractive indices using a variational framework. My approach relies on accurate and nonlinear physical models of light propagation and efficient algorithms to solve the reconstruction problem.
Collaboration with Prof. Demetri Psaltis

Phase unwrapping with deep learning

Recovering the true phase from its wrapped version (modulo 2$\pi$). Many challenges hide behind the simple formulation of the problem.
Collaboration with Dr. Fangshu Yang

Software for single-molecule localization microscopy

Anything related to 2D and 3D SMLM software with an emphasize on metrics and benchmarking.
Collaboration with Dr. Daniel Sage and Prof. Seamus Holden

Image analysis of organoids

I developed classical image analysis tools for studying organoids.
Collaboration with Dr. Nathalie Brandenberg