Vincent Dumont is a postdoctoral researcher working on deep learning application with Distributed Acoustic Sensing (DAS) data. His current areas of interest are machine learning, sensor network technology, and data scalability in high-performance computing environments. Prior to joining Berkeley Lab, Vincent was a postdoc at the University of California, Berkeley where he specialized in magnetometer-networks for coherent searches of magnetic transient events. Vincent received his Ph.D. in Astrophysics from the University of New South Wales (Sydney, Australia), his M.Sc. in Astronomy from the University of Chile (Santiago, Chile) and his B.Sc. in Physics from the University Grenoble Alpes (Grenoble, France).