Trying every day to turn peanut butter into imaging algorithms
Ciao, I am Gabriele Scrivanti and I am a postdoc researcher at MaLGa. Welcome to my webpage!
About Me
I got my master’s in mathematics at the University of Bologna in Italy, then did my PhD in Signal and Image processing at Université Paris-Saclay, where I was part of the MSCA ITN “Trade-OPT”. I spent my first year as a PostDoc at IPVF, developing mathematical tools for microscopy imaging in the context of semiconductor and photovoltaic materials.
Now I am part of the Computational Imaging and Learning (CIL) group of MaLGa, still doing research and learning new things!
Research Interests
Currently, I am working on computational microscopy for biology and material sciences.
More broadly, I am interested in solving complex problems at the intersection of Mathematical Optimisation, Image Processing and Unsupervised Learning.
News
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My project proposal Unsupervised Physics-infomed Learning for computational microscopy Imaging Techniques (UPLIT), submitted under the Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowships 2025 call of the Horizon Europe programme, has been awarded the Seal of Excellence by the European Commission
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My paper Forward-Backward algorithms for weakly convex problems in cooperation with E. Bednarczuk, G. Bruccola and T. H. Tran has been accepted for publication in Applied Mathematics and Optimization arXiv