Stavanger, Rogaland, Norway
20 year of experience in Data Storage, Data Modeling, Data Interoperability, Data Centers, AI Engineering. In both management and technical roles. Experienced speaker at academic and industrial level. Expert Reviewer for European Commission. Author of SpringerNature book "Data-intensive Systems: Principles and Fundamentals using Hadoop and Spark"
Operationalization of data products and end‑to‑end data delivery. Establishing the foundation for adoption of AI. R&D Council Member for Digital alignment.
Overseeing projects, investments, and co-engineering efforts within the office of the CDO. Responsible for overall funding and technology development for early stage Data Delivery and AI Engineering projects. R&D Council Member for Digital alignment.
Managed Data Pipelines and Integration department during a organizational change from DataOps to build-and-operate setup. Accountable for daily operations, overall budgets, resource management, capability and competence planning.
Teaching graduate course in Data Engineering. Supervising students within Data and AI Engineering.
Program Director for Master's in Computer Science and Master's in Data Science. Expert, Monitor, Rapporteur for European Commission for projects in Horizon 2020, Horizon Europe, COST Actions. Research within Data Science (time series, deep learning, DataOps/MLOps) for biomedicine and oil & gas industry, primarily financed through a set of projects from Norwegian Research Council.
Program Director for Computer Science and Data Science. Lead creation of Master's in Data Science. Author of SpringerNature book "Data-intensive Systems: Principles and Fundamentals using Hadoop and Spark" Managed projects, deliverables and work packages (largest having over 110 PM workload) in several research projects on Data Science, Big Data, and Cloud Computing: - EDISON project developing Europeans Data Science curricula and profession (financed by EU H2020) - A4Cloud - Accountability for Cloud and other Future Internet Services (financed by EU FP7) - Strategic Collaboration on Big Data Analysis and Communication between Purdue University and University of Stavanger (financed by SIU) Research and education in areas of Time Series Analysis, Data Science, and Big Data with applications in two major areas: sports data analysis and drilling automation.
Created and taught master course Data Intensive Systems/Cyberinfrastructures. Research on big data analytics and data infrastructures.
Worked at Center for Biomedical Informatics Research - developers of Protege Ontology Editor Created DataStorm - An Ontology-driven Framework for Cloud-based Data Analytic Systems. Created SWRL-F - Fuzzy Extension of Semantic Web Rule Language.
Created ca. 30 new functions in company's ERP system basing on current accountant practices and law.