Louis Darrigol

I am a French student at École Polytechnique (Class of 2027), where I major in computer science and biology with a strong interest in computational approaches to complex biomedical questions. I previously completed the highly selective Classes Préparatoires at Lycée Stanislas in physics and chemistry, and was selected to be part of the French team at the 2022 International Chemistry Olympiad. Before that, I obtained my French Baccalauréat with highest honors at Lycée Fénelon Sainte‑Marie, with a focus on mathematics and physics.

My research experience spans cancer genomics, RNA biology, and applied machine learning. At Columbia University, I will work on developing an inference algorithm to cluster mutational site frequency spectra in cancer, under the supervision of Prof. Tavaré. At ESPCI and École Polytechnique, I work on synthetic RNA design, modeling RNA conformational dynamics, and sequence–structure relationships using molecular simulations and AI‑based analysis. I am also involved in a project at the BIOC laboratory and Institut Curie on collective breast cancer cell migration, combining microscopy, knockout analysis, and computational modeling to understand cytoskeletal regulation.

Beyond academia, I have worked on AI deployment in industry at McKinsey, contributed to an AI‑based voice and acoustic analysis system to help triage emergency medical calls for the French SAMU. Outside of research, I am a black belt in Shotokan karate, an experienced high‑altitude trekker, and a long‑time violinist.

I look forward to working with the team to develop and test new statistical and machine learning approaches on real cancer genomic data.