Daniel Galea

Daniel Galea

Postdoctoral Researcher @ Lawrence Livermore National Laboratory

About Daniel Galea

Daniel Galea is a Postdoctoral Researcher at Lawrence Livermore National Laboratory, specializing in deep learning techniques applied to meteorological data. He has a diverse programming background and holds degrees in Atmospheric Sciences and Computational Physics.

Work at Lawrence Livermore National Laboratory

Daniel Galea has been employed as a Postdoctoral Researcher at Lawrence Livermore National Laboratory since 2022. His role involves conducting advanced research in the field of atmospheric sciences, leveraging his expertise in programming and deep learning. The laboratory, located in Livermore, California, is known for its contributions to national security and scientific discovery.

Education and Expertise

Daniel Galea holds a Master of Science in Atmosphere, Ocean and Climate from the University of Reading, which he completed from 2017 to 2018. He also earned a Bachelor of Science in Computational Physics from L-Università ta' Malta from 2014 to 2017. His academic background is complemented by a PhD in Computer Science with a focus on Deep Learning, which he pursued at the University of Reading from 2018 to 2022.

Background in Software Development

Prior to his current position, Daniel Galea worked as a Software Developer at Loqus Business Intelligence in Malta from 2016 to 2017. He also served as a Computational Scientist at the National Centre for Atmospheric Science for eight months in 2022. His experience encompasses computer software design, implementation, and testing, along with proficiency in various programming languages including Java, C, C++, Matlab, Octave, Python, MySQL, and MongoDB.

Research and Interests

During his PhD studies, Daniel Galea applied deep learning techniques to meteorological data, focusing on improving models related to atmospheric sciences. His master's dissertation involved researching parametrizations in an Urban Canopy. He has a keen interest in machine learning and modeling, which informs his current research endeavors.

Personal Interests

Daniel Galea is an avid fan of most sports, reflecting a personal interest in physical activities and athletic events. This engagement with sports complements his professional and academic pursuits, contributing to a well-rounded lifestyle.

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