I am a member of the Applied Science team at GoFundMe, where I work on pricing models, and I teach Natural Language Processing as an assistant professor at the University of Buenos Aires.

I completed my PhD at Imperial College London (UK), where I studied machine learning techniques for antibody design under the supervision of Dr. Barbara Bravi and Professor Mauricio Barahona. During my PhD, I was a President’s Scholar at the Department of Mathematics and a student representative at the Department and Faculty levels. I also conducted research on large multimodal generative models for antibody design at AstraZeneca.

Before that, I obtained my engineering degree at the French Grande École IMT Atlantique and my Master’s in signal processing (SISEA) at Université de Rennes I, through a double degree agreement with Argentina, where I finished the electronic engineering degree at the Faculty of Engineering of the University of Buenos Aires.

Earlier, I interned at the Laboratory of Astrophysics (LASTRO) at École Polytechnique Fédérale de Lausanne, Switzerland, working on gravitational lens deconvolution, and at CEA Paris-Saclay (CosmoStat Laboratory) in 2021, where I studied astrophysical image reconstruction using neural networks.

Download my curriculum vitae.