I joined the Energy Transition Outlook team in May 2021. My previous experience includes a PhD in chemistry and five years in R&D in the tyre recycling industry, where I worked on developing new recovery routes in the energy-intensive industries.
The energy system is vast and a has a huge impact on our societies. Understanding its current state and future evolutions is both challenging and rewarding. Joining an international team with experts in their fields can be intimidating at a first glance, but it is very exciting environment to work in and the excellent collaboration within the team has made it an enriching year.
My research for the Energy Transition Outlook is mainly focused on improving our knowledge of heavy industries and circular economy, to contribute to strengthening the position of our forecast as a reference for DNV and its customers.
I joined DNV and the GRD Healthcare Programme in April 2020, coming from the Norwegian Medicines Agency where I was working with regulatory and clinical aspects concerning approval of new medicines. I have a PhD in biochemistry and have also been working several years in academia.
I am engaged in the rapid digital transformation that healthcare is undergoing where unlocking the barriers to data access and sharing is of vital importance to this journey moving healthcare forward in being more patient centric. In my current role I am involved in several projects that addresses these challenges, both through internal projects, but also two externally funded: an EU Horizon 2020 project and a project from the Research Council of Norway. Here, we are exploring needs, but also delivering a framework for data governance and management of health data, both in EU and Norway. Related to this, I am also involved in assessing the coming EU legislations as part of the EU strategy for data, in particular the data governance act where we have been aiming at understanding the implications for DNV across different sectors, including healthcare.
It has been exciting for me to be part of such an extremely dedicated and competent working environment, both in GRD and the healthcare team specifically.
I joined the ship autonomy group in GRD Maritime in August 2021. My role in DNV is to understand the safety aspects of autonomous shipping, and an important focus area is the development of automatic-simulation based testing of autonomous ships to verify safe and efficient ship operations.
Safe deployment of autonomous ships will not be feasible based solely on real-life testing, but will require large-scale, systematic simulation-based testing. I am very proud to be a part of a team that focuses on assurance of autonomous ships and decarbonization of the maritime industry.
In addition, I am interested in how autonomy in the shipping industry can improve the carbon intensity and help reduce the greenhouse emissions. I am impressed by the dedication of the team, and the speed at which we explore and learn new technologies. I am eager to learn more from both my team and others and very happy with my choice to join DNV.
I joined the DNV Ocean Space Program in February 2021 as responsible for the system dynamics model predicting the future of the oceans towards 2050. As an economist specialized in finance and with long experience in developing decision support models and performing risk analysis in various industries, I believe I can bring some complementary knowledge to the current ocean space team.
The learning curve on the relevant ocean industries has been steep since joining, but with good help from new colleagues in DNV, both in Norway and internationally, I'm getting there.
Since joining, my work has consisted of gathering and understanding ocean related information and converting it into a feedback driven system dynamics model to predict the future of the oceans.
Our first complete forecast is soon to be published including a diverse set of topics such as ocean food, transportation, energy, tourism, desalination, spatial planning and more. Hopefully our results will lead to interest both internally and from customers and I look forward to further developing our forecast.
I joined the Power & Renewables program within DNV GL in April 2021 and I work as a researcher in Solar Energy sector. Previously I worked in academic research, investigating on Particle Physics with emphasis on neutrinos and getting a PhD in Theoretical Physics. During these years I acquired a deep knowledge of theoretical aspects, as well as model building and calculation skills.
My curiosity for progress and technology led me to be interested in Artificial Intelligence. The desire to test my analytical skills outside academy made me move to the industry where I expanded my knowledge in Data Science. Currently, I’m developing Machine Learning models to analyze the performance of photovoltaic plants.
When I arrived at DNV GL I was impressed by the perfect organization the company has. Despite the pandemic situation that distances people, here, I never felt alone thanks to the great synergy that exists within my Team. I’m very proud to be part of this company that takes care of the environment and allows me to use my scientific knowledge to build together a better world.
I joined the Technologies in Assurance, Group Research and Development team in August 2021. Prior to joining DNV, I was working as a research fellow in Singapore in the areas of model-based simulation technologies for digital twin. My background is in the formal modelling languages and verification techniques for cyber-physical systems, and I have been involved in academic research and projects since the completion of my PhD in 2016.
Simulation and verification technologies are the main pillars in designing critical systems to ensure functional and temporal correctness. Yet, one of the major challenges in creating a complex simulation environment is the reuse of existing models as building blocks, which are inherently dissimilar in terms of the notion of simulation time, synchronization, and concurrency. My contributions will be on the development of simulation technologies and a scalable platform using such models that can create values across various areas.
My experience working in DNV has been great and I am pleased to work with talented and kind colleagues in our team. I am looking forward to many exciting challenges and hope my contribution will be beneficial in developing the future of digital assurance at DNV.
I joined the Digital Assurance Research Centre in October 2021. Prior to joining DNV, I was doing research on how organizations work with innovation in a context of broader industry transformations.
At DNV, my role is to further the understanding of how the company navigates the opportunities and challenges that digital transformation is bringing to assurance.
Digital transformation of industries offers opportunities for exploiting new digital technologies and solutions as well as exploring new ways of working. At the same time, digital transformation also results in significant changes in the context in which a company operates. My research will focus on disentangling the complexity of this situation related to digital transformation of assurance and industries.
October 2020 set sail on my exciting journey to start a new chapter at GRD Artificial Intelligence Research Centre, DNV after several years in both academic research and industry areas working with computer vision algorithms and hardware development for non-destructive 2D / 3D sensing and measurement.
The future is automated, and this momentum is accelerated from iteration to innovation in the post-pandemic world where powerful technologies such as AI and machine learning, the Internet of Things, robotics, and digital transformation evolve synergistically to transform old services and unlock new possibilities. I am fortunate to join DNV that always leads the trend and positions itself at the forefront of technology.
This year most of my effort has been put into creating smart tools to detect and quantify deformation defects in the remote drone-based ship hull survey. Initial lab results are promising for the debut flight of the automated drone to deliver a field inspection in a bulk carrier next year.