Senior research scientist, group manager
© Matti Ahlgren
Contact information
email: firstname.lastname@syke.fi
Phone number: +358 29 525 1022
Finnish Environment Institute (Syke)
Quality of information
Method development
Latokartanonkaari 11, 00790 Helsinki
@Google Scholar
@Twitter
@ResearchGate
Academic CV
Work tasks:
- Senior research scientist and group manager at Syke's Quality of information unit's Method development group.
- I am responsible for applying machine learning methods on environmental monitoring, developing new approaches and planning new research projects. The method development group is responsible for:
- Development and piloting of methods supporting environmental monitoring and research, focusing especially on satellite observations, modeling, machine learning methods and molecular biological monitoring methods.
- Mapping and evaluation of methods related to environmental research and monitoring, as well as supporting their implementation at Finnish Environment Institute.
- Development of services that promote the use of data produced with new methods.
Methodological expertise:
- Data analysis, modeling and data visualization
- machine learning methods and their interdisciplinary application
- Bayesian machine learning
Background
I have been working at the Finnish Environmental Institute (Syke) since 2020 in various interdisciplinary research and development projects, where new quality assurance methods of various data, data fusion, machine learning methods in the circular economy context and natural language analysis methods for creating environmental information have been studied. I defended my PhD thesis on probabilistic machine learning on October 2021. The topic of the dissertation was "Applications of human feedback in Gaussian Processes" and it was supervised by Associate Professor Aki Vehtari.
Past and current projects