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> Machine learning for medical imaging > Compressed sensing theory > Stochastic optimisation for large-scale machine learning

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Personal profile

Research interests

I received my PhD in Computer and Communication Sciences from the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, in 2012. My PhD thesis focused on compressed sensing and source separation strategies for multichannel data. I joined the Applied Mathematics Research Centre (CEREMADE) at Université Paris Dauphine as a CNRS postdoctoral researcher in 2013. In 2014, I was awarded the Swiss National Science Foundation (SNSF) Fellowship and visited the DSP group at Rice University, Houston TX USA. In 2015, I joined the School of Engineering at the University of Edinburgh and held an early career award from the Scottish Research Partnership in Engineering (SRPe) for the project “Accelerating quantitative Magnetic Resonance Imaging acquisition and reconstruction”. Since August 2018, I joined the University of Bath as an assistant professor (lecturer) in Computer Science.

My research interests include signal and image processing, inverse problems, compressed sensing and optimisation algorithms for large-scale machine learning: theoretical and applied to biomedical imaging and computer vision.

For more information please visit my personal webpage!

Also see Google scholar page for my latest publications.


Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

External positions

Visiting researcher , University of Edinburgh

1 Aug 2018 → …


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