Daniel Matos

Daniel Matos is a Senior Research Engineer at Huawei since May 2022, specializing in deep learning, data conflation, and data science with a focus on geospatial applications. Prior experience includes a role in data science and analytics at KPMG UK, where work centered on data analytics and anomaly detection, as well as part-time data scientist positions at Rosslyn Data Technologies, which involved NLP and machine learning projects. Daniel also served as an ETL Developer, enhancing ETL pipelines for various clients. Academic credentials include a PhD in Quantum Physics, alongside two MSc degrees in Non-Equilibrium Systems and Quantum Fields, and a BSc in Theoretical Physics, all from prestigious institutions including King's College London and Imperial College London.