Imperial College London


Faculty of Natural SciencesDepartment of Mathematics

Research Postgraduate



k.michalewicz22 Website CV




Huxley BuildingSouth Kensington Campus





Kevin Michalewicz is a second year Research Postgraduate studying machine learning techniques for antibody design under the supervision of Dr. Barbara Bravi and Professor Mauricio Barahona. Furthermore, he is a President’s PhD scholar at the Department of Mathematics and a statistics student representative.

He obtained his engineering degree at the French Grande École IMT Atlantique and his Master’s degree in signal processing (SISEA) at Université de Rennes I in the context of a double degree agreement with Argentina. There he studied electronic engineering at the Faculty of Engineering of the University of Buenos Aires. He also taught two physics courses: Electricity and Magnetism for two years and Quantum Mechanics for half a year.

In his last work experience, he has been a gravitational lens deconvolution and PSF intern at LASTRO (Laboratory of Astrophysics, École Polytechnique Fédérale de Lausanne, Switzerland) under the supervision of Frédéric Courbin and Cecilia Galarza.

Furthermore, he did an internship at CEA Paris-Saclay (Alternative Energies and Atomic Energy Commission) in the CosmoStat Laboratory in 2021. His project was about the study of astrophysical image reconstruction using neural networks.



Michalewicz K, Millon M, Dux F, et al., 2023, STARRED: a two-channel deconvolution method withStarlet regularization, Journal of Open Source Software, Vol:8, ISSN:2475-9066, Pages:1-4

Ramzi Z, Michalewicz K, Starck J-L, et al., 2022, Wavelets in the deep learning era, Journal of Mathematical Imaging and Vision, ISSN:0924-9907

Akhaury U, Starck J-L, Jablonka P, et al., 2022, Deep Learning-based galaxy image deconvolution, Frontiers in Astronomy and Space Sciences, Vol:9, ISSN:2296-987X

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