Alberto Gutiérrez Torre
About Alberto Gutiérrez Torre
Alberto Gutiérrez Torre is a postdoctoral researcher and principal investigator at the Barcelona Supercomputing Center, focusing on workload optimization in healthcare using high-performance computing and advanced machine learning techniques. He has extensive teaching experience at the UPC School and has contributed to various European projects since 2022.
Work at Barcelona Supercomputing Center
Alberto Gutiérrez Torre has held multiple roles at the Barcelona Supercomputing Center (BSC). He worked as a Research Engineer from 2016 to 2017, where he contributed to various research initiatives. Subsequently, he served as a Ph.D. Student from 2017 to 2022, focusing on advanced computational techniques. Since 2021, he has been a Postdoctoral Researcher at BSC, where he leads projects related to workload optimization using high-performance computing (HPC) infrastructures. In September 2022, he became a Principal Investigator, overseeing significant European projects that integrate HPC and healthcare.
Education and Expertise
Alberto Gutiérrez Torre completed his Bachelor's degree in Computer Science at the Universitat Politècnica de Catalunya from 2008 to 2014. He furthered his education by obtaining a Master in Innovation and Research in Informatics, with a Mention in Data Science, from 2014 to 2017. He earned his Doctor of Philosophy (PhD) in Computer Architectures from the same institution between 2017 and 2022. His academic background equips him with expertise in high-performance computing, machine learning, and data science.
Teaching Experience
Since 2015, Alberto Gutiérrez Torre has been involved in academia at the UPC School (Universitat Politècnica de Catalunya) as a Teacher and Teacher Assistant. His teaching role spans over nine years, during which he has contributed to the education of students in computer science and related fields. Additionally, he served as a Teacher Assistant at UNED from 2015 to 2018, further enhancing his teaching experience in higher education.
Research Focus and Projects
Alberto Gutiérrez Torre's research focuses on workload optimization in high-performance computing environments, particularly within healthcare applications. He is a Principal Investigator in European projects such as INCISIVE, CALLISTO, and SECURED. His work involves advanced machine learning techniques, including Distributed Machine Learning, Federated Learning, and Generative Models. These projects aim to improve computational efficiency and healthcare outcomes through innovative technological solutions.