Vincent Cohen-Addad is a Research Scientist at Google Research, specializing in algorithm design for clustering and network-related problems within the realms of data analysis and machine learning. His research is dedicated to the development of efficient algorithms and a profound understanding of the complexities associated with these challenges. Vincent's scholarly interests extend to online optimization, learning theory, computational geometry, and fixed-parameter as well as fine-grained complexity. He brings a wealth of experience from his prior roles, including a CNRS researcher position at Sorbonne Université, a Marie Sklodowska-Curie individual fellowship at the University of Copenhagen under the mentorship of Mikkel Thorup, and his Ph.D. from the Département d'Informatique de l'École normale supérieure, where he had the privilege of being advised by Claire Mathieu.