I am a research engineer in the Multiscale Physics of Morphogenesis lead by Hervé Turlier at the Centre Interdisciplinaire de Recherche en Biologie (CIRB). I am interested in applying machine learning techniques in order to help biologists and physicists simulate and predict events which occur at various stages of cellular development. Sparse representations of such events can be modelled using combinatorial approaches allowing for the implementation of specific types of graph neural network which I am presently developing.
I defended my Ph.D thesis in mathematical physics at the Ecole Normale Supérieure de Lyon in 2019, where I developed rigorous techniques for understanding quantum integrable models at finite temperature which helped in establishing the proof some long standing conjectures in the subject. Prior to this, I obtained my M.Sci in theoretical physics from King's College London.
