Meet our experts:
We are a dedicated and science-loving team of geographers, physicists and tech developers. Our entrepreneurial spirit, quality awareness and visionary projects has attracted employees from over 10 different countries.
Rasmus Eskerod Borgstrom
Rasmus is responsible for the strategic direction, business development and leadership of the curious and dedicated team of experts at DHI GRAS.
He is passionate about creating innovative ways of extracting information from satellite imagery and keen on identifying new applications and users of satellite imagery.
Rasmus is highly experienced in remote sensing and holds a strong network within the earth observation field, always keeping an eye out for new data sources and technologies.
Torsten Bondo
Torsten is involved in most aspects of the business generation including idea generation, networking and project applications.
He explores how services and information based on satellite images can support our client’s problems. It is a rapidly developing field where satellites are frequently launched and the technological boundaries keep being pushed. This makes it both a challenging and fun field to be in.
Lars Boye Hansen
Lars is responsible for the daily operations in DHI GRAS including project execution and quality assurance. Being part of the management team includes involvement in DHI GRAS’ strategic direction, business development and general leadership.
Lars has been with GRAS for more than 15 years working on innovative services based on satellite imagery and geospatial data globally. In recent years, focus has been on coastal and marine applications.
Radoslaw Marcin Guzinski
Rado develops new satellite-based products using latest science, machine learning and physical models and implements open-source solutions.
He holds a deep interest in environmental topics and geography which combined with his scientific and analytical background and programming skills led him to the field of earth observation. Currently, his work focuses on sustainable management of water resources, development of open-source toolboxes and capacity building.
Lotte Nyborg
Lotte has a strong background and profound knowledge about remote sensing applications on land and in marine environments. She is especially skilled in the applications of Sentinel data in Danish and Arctic environments.
Her key competences include project management, tailoring product and services to clients needs and quality assurance.
Silvia Huber
Working in a cross-disciplinary way at the interface between science and praxis is one of Silvia’s key motivations at DHI GRAS.
As a project manager, she has a particular focus on capacity development and quality assurance.
Christian Tøttrup
Christian takes earth observation (EO) and puts it into practice by focusing on how EO can support water resources management and environmental decision-making.
He has many years of experience within the field of geography and has throughout his career been involved in developing, implementing and assisting with projects all over the globe.
Kenneth Grogan
He enjoys using machine learning together with optical and radar satellite imagery to solve some of the most challenging tasks related to land cover and land cover change. Currently, his focus areas are developing satellite-based monitoring systems for agriculture, forests, and wetlands.
Lisbeth Tangaa Nielsen
With a background in geophysics, she enjoys combining data analysis and knowledge of natural phenomena to extract useful information from earth observations.
Razvan Bertea
Razvan is our junior front-end developer that enjoys creating rich digital products using the latest technologies.
He is a curious person that is interested in the whole scope of web development while being dedicated to the projects he is part of.
Mads Christensen
Mads is involved in project implementation and reporting as well as business development and stakeholder engagement.
He is passionate about building and sustaining capacity in effective use of earth observation to respond to societal challenges and sustainable development issues.
This includes exploring how satellite derived information can contribute to informed decision-making, including to underpin the 2030 Sustainable Development Agenda.
Mikkel Lydholm Rasmussen
Mikkel is involved in a wide range of projects by developing and applying new methods and applications of satellite-based information and solutions.
He explores how best to help clients and users leverage the untapped information stream provided by satellites, while also teaching new colleagues about the wide range of methods and algorithms developed by DHI GRAS.
Currently, his work is primarily focused on coastal applications, but he has also applied his knowledge to topics as varied as REDD+, urban mapping, and environmental mapping.
Nicolai Thomassen
Nicolai is processing and analyzing Synthetic-Aperture Radar (SAR) imagery.
He has an engineering background within earth and space physics and is passionate about image analysis, machine learning, environment- and climate monitoring.
Gyde Krüger
Gyde is GRAS’ intern and involved in the work with bathymetry data. Studying geoinformatics, she is keen on gaining insight in as many new remote sensing approaches as possible.
She is interested in the rich possibilities of satellite data that can help tackling environmental challenges in the future.
Jonas Sølvsteen
Jonas is a data engineer with expertise in earth observations who makes satellite imagery and products accessible to users.
His goals are high code quality and sleek and resource-efficient solutions, building on the powerful Python data science stack. He is passionate about helping colleagues and clients solve their tasks, solid operational deployment in the cloud, social coding, and open-source.
Pantelis Kouris
Pantelis is a computer scientist with a background in Machine Learning.
He is part of the software development team with a strong focus on delivering high-quality, efficient and robust solutions.
During his studies, he employed deep learning to detect changes in multi-spectral satellite images.
He enjoys discovering and using state-of-the-art machine learning techniques to solve image recognition tasks.
Andreas Borgstad
Andreas is a computer scientist that develops software to make efficient use of high volumes of data stemming from remote sensing aperture. He also is also a part of the development of machine learning/deep learning models used in the various projects he takes part in.
He is an open-source enthusiast, enjoys long moon walks, and is a Linux expert.
Daniel Druce
Pantelis is a computer scientist with a background in Machine Learning.
He is part of the software development team with a strong focus on delivering high-quality, efficient and robust solutions.
During his studies, he employed deep learning to detect changes in multi-spectral satellite images.
He enjoys discovering and using state-of-the-art machine learning techniques to solve image recognition tasks.
Mikkel Høegh Bojesen
Mikkel is involved with business development, networking and project management especially emphasizing Nordic and Arctic regions.
He enjoys exploring how EO can support decision making in relation to complex real world problems within a wide range of applications, including coastal mapping, topographic and land cover mapping, forest- and agricultural based bio-energy systems.
With working and living experience from Greenland, Iceland, Denmark and Sweden. Mikkel is our Nordic and Arctic expert
Michal Jaworski
Michal is a student digital designer for GRAS, which means he is working with graphic, motion, and web design, overseeing the visual communication of the brand.
His focus is to deliver meaningful, fulfilling yet stimulating, and inspiring digital solutions. As a designer, he enjoys working with user interfaces and user experience; creating visuals – playing with the brand identity through the design on various available platforms.
Thomas Nyegaard Signori
Thomas completes his masters in computer science and supports the software development team in developing efficient and consistent systems.
He is interested in exploring the world of satellite imagery through machine learning.
He loves deep diving into the wonderful world of Python and exploring new technologies.
Nicklas Simonsen
Nicklas is an intern and student assistant, while studying a degree in geoinformatics. At GRAS he works as part of the analytics team that explore and develop new techniques within remote sensing.
He uses computer science and machine learning to best utilize the powers of remote sensing for a wide range of problems. He is passionate about using earth observation to create solutions in the hydrological field.
Mike Rosca
Mike is involved in a wide range of GRAS projects where he provides analysis of satellite-based data and assists with process automation.
He keeps an eye out for new applications and ideas in the earth observation sector and is keen to test out how new tools and methods in the industry can best benefit our clients. He is passionate about machine learning, data science and data visualization.
Cécile Marie Margaretha Kittel
Cécile is a Remote Sensing Specialist with a strong background in environmental engineering and hydrology. She is passionate about bringing together satellite observations and numerical modelling to solve challenges in water resource management.
She uses her scientific and analytical background to explore how new remote sensing data sources can be integrated in physical and conceptual models to improve process understanding and support the sustainability agenda.
DHI GRAS A/S
gras@dhigroup.com
+45 4516 9100
Agern Alle 5,
2970 Hørsholm,
Denmark
CVR: 25621646