Daniel Galea

Background

About Daniel Galea

As a Postdoctoral Researcher at Lawrence Livermore National Laboratory, I apply my expertise in Deep Learning to solve challenging problems in the Earth Systems domain. I work with a multidisciplinary team of scientists and engineers to develop and implement novel deep learning models that can generate, analyze, and interpret large and complex datasets from climate simulations and observations. I hold a PhD in Computer Science from the University of Reading, where I focused on applying deep learning techniques to the predictability of the weather system. I published three papers in the Artificial Intelligence for the Earth Systems journal, demonstrating the state-of-the-art performance of my models in detecting and tracking tropical cyclones and atmospheric rivers. I also received the UK Met Office prize for my MSc dissertation on vertical wind profiles in urban canopies. I am passionate about using my skills and knowledge to advance the scientific understanding and societal impact of the Earth Systems.