I am a third 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. 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.
I conducted research on large multimodal generative models for antibody design at AstraZeneca. 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.
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