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Miha Markelj has been working as a research assistant at NILU since 2022, focusing on emissions of air pollutants into ambient air from different perspectives. He works with emission and dispersion models, develops new data collection processes and works on enhancing resolution of models. His work often involves acquiring, processing and interpreting unstructured data. Among others, he contributes to projects for municipalities and industry, as well as to data reporting projects for EEA.

Miha earned his bachelor’s degree in physics from the University of Ljubljana, Slovenia.

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Amir is an Environmental Data Scientist with a PhD from the University of Manchester, where his research focused on modelling large-scale processes near Earth's surface, particularly under current and projected climate conditions.

At NILU, his research is currently focused on enhancing the utility of novel low-cost sensor networks by integrating data from static, mobile, and wearable sensors with complementary datasets such as satellite remote sensing, air quality models, and citizen-contributed information.

His core competencies include machine learning, spatial analysis, and statistical data analytics, all of which he applies to investigate the physical, human, and policy dimensions of global environmental change. He is particularly interested in the drivers and impacts of changes in areas such as air quality, climate, urbanization, biodiversity, and ecosystem services. His work supports theoretically and empirically robust insights to advance knowledge on environmental change and its implications for society.

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Marina Hauser (Ph.D.) is a postdoctor at the department of Environmental Impacts and Sustainability at NILU. Her doctorate was in environmental systems science. She has strong background in industrial ecology with expertise in material flow modelling and life cycle assessment, especially for the waste management and treatment sector. In the PLASTCYCLE project she will evaluate the flows of plastic in Norway and analyze different recycling scenarios.

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Stefan Jetschny holds a Ph.D. degree in geophysics from the Karlsruhe Institute of Technology, Germany. He combines more than 20 years of experience both in academic and in industry research. His main research activities incorporate application of massive, scalable, numeric algorithms to large datasets to solve applied problems, earlier in the field of subsurface earth characterization and now environmental research. 

During his occupation as an assistant professor, he was contributing to and managing projects with respect to seismic modeling and inversion for near surface applications. This also included the development of open source forward and inverse finite difference modeling codes. While working for a technology driven oil and gas service provider, he developed innovative and novel marine survey geometries and strategies by exploring the full chain of geological model building, synthetic data generation and application of state-of-the-art seismic processing algorithms. 

In his current role as a Machine Learning Scientist / Senior researcher at NILU, Stefan contributes to the NILU’s aspiring data science team to help apply machine leaning and AI related methods to the institute’s versatile project catalog. He is actively involved in the European Topic Center for Data integration and digitalisation (ETC DI) and coordinates the EU Horizon project FAIRiCUBE. In addition, he is the main safety representative at NILU and enjoys the voluntary work in the welfare committee. 

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Dr. Leonie Bernet obtained a PhD in Climate Sciences from the University of Bern, Switzerland.

She is an expert in trend analyses of ozone and water vapour, using measurements from ground-based remote sensing techniques. Her work focuses primarily on long-term changes of stratospheric ozone at mid-latitudes and in the Arctic.

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