Kevin Michalewicz

Kevin Michalewicz

Research Postgraduate

Imperial College London



I am a second year Research Postgraduate at Imperial College London (UK) studying machine learning techniques for antibody design under the supervision of Dr. Barbara Bravi and Professor Mauricio Barahona. Currently, I am conducting research on large multimodal generative models for antibody design at AstraZeneca. Furthermore, I am a President’s PhD scholar at the Department of Mathematics, and student representative at Department and Faculty levels.

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

Before my PhD, I worked as an intern at the Laboratory of Astrophysics (LASTRO) at École Polytechnique Fédérale de Lausanne, Switzerland, focusing on gravitational lens deconvolution and PSF, under the supervision of Frédéric Courbin, Martin Millon and Cecilia Galarza.

Additionally, I did an internship at CEA Paris-Saclay (Alternative Energies and Atomic Energy Commission) in the CosmoStat Laboratory in 2021. My project involved studying astrophysical image reconstruction using neural networks.

Download my curriculum vitae.

  • Machine/Deep Learning
  • Antibody design
  • Signal Processing
  • Astrophysics
  • PhD in Mathematics, 2022–Present

    Imperial College London

  • MSc in Signal Processing (SISEA), 2021–2022

    Université de Rennes I

  • Engineer’s Degree, 2020–2022

    IMT Atlantique

  • Electronic Engineering Degree, 2017–2022

    Universidad de Buenos Aires


Intern at the Centre for Artificial Intelligence (CAI)
Jul 2024 – Present Cambridge, United Kingdom
  • Large multimodal generative models for antibody design.
  • Supervisors: Dr. Asher Mullokandov and Dr. Chen Jin.
Graduate Teaching Assistant (GTA)
Jan 2023 – Present London, United Kingdom
  • Tutorial leader in Methods for Data Science, Statistics A and Network Analytics (Spring 2024).
  • Tutorial leader in Data Analysis Tools for MRes students (Autumn 2023).
  • Teaching Assistant in Statistics A and Introduction to Computation (Autumn 2023).
  • Script marking and exam invigilation in subjects of the Department of Mathematics.
Gravitational Lens Deconvolution & PSF Intern
Apr 2022 – Sep 2022 Switzerland
My Master’s final internship was focused on gravitational lens deconvolution & PSF generation. I worked at EPFL’s Laboratory of Astrophysics (LASTRO). My supervisors were Frédéric Courbin (EPFL), Martin Millon (Stanford) and Cecilia Galarza (FIUBA).
Deep Learning Intern
Apr 2021 – Jul 2021 Paris, France
The internship took place in the CosmoStat laboratory at CEA, an interdisciplinary research group at the interface between cosmology and statistical methods. My supervisors were Jean-Luc Starck and Zaccharie Ramzi. I studied and implemented different types of neural networks such as Learnlets and U-nets for astrophysical image reconstruction. In particular, the generalisation problem was addressed.
Student Teaching Assistant
Mar 2018 – Oct 2020 Buenos Aires, Argentina
I taught the subjects Physics II (Electricity, magnetism and thermodynamics) and Physics III (Quantum physics, statistical mechanics and semiconductor theory).


TakeAIM 2024 winner
Established in 2011, the Smith Institute’s annual TakeAIM competition is an opportunity for university students to showcase their work on the industrial stage. TakeAIM’s goal is to highlight the crucial role mathematics plays in solving real-world problems while rewarding the academic exploration of future innovators who undertake pioneering research.
President’s Scholarship
The President’s PhD Scholarships allow students to undertake a research project of their choosing with the support of an excellent supervisor, alongside cohort-building opportunities with other President’s PhD Scholars. This competitive scheme has higher than usual eligibility requirements, attracting candidates that show excellent academic performance and promising research potential. We accept applications from talented candidates from Imperial College London, the UK and worldwide.
Eiffel Excellence Scholarship 2020 (Master)
The Eiffel Excellence Scholarship program is a system developed by the Ministry of Foreign Affairs in order to enable French higher education institutions to attract the best international students to their degree programs at Master or Doctorate level.
Distinguished Student (2015, 2017, 2022 & 2023)
This award is given annually by the University of Buenos Aires (UBA) to students who have been recognised for their outstanding academic work and performance by entities outside the University; who have received awards, honours or recognition from other university institutions, organisations, academics, national, foreign or international bodies of the highest prestige. In this way, the aim is to stimulate the development of the members of the community of the University of Buenos Aires.

Recent Publications

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(2024). Image Deconvolution and Point-spread Function Reconstruction with STARRED: A Wavelet-based Two-channel Method Optimized for Light-curve Extraction. The Astronomical Journal.

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(2023). STARRED: a two-channel deconvolution method with Starlet regularization. Journal of Open Source Software.

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(2022). Deep Learning-based galaxy image deconvolution. Frontiers in Astronomy and Space Sciences - Astrostatistics.

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(2022). Wavelets in the deep learning era. Journal of Mathematical Imaging and Vision.

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