Duties
Development of phytoplankton imaging and machine vision applications
Subject area
Education and academic titles
Doctor of Philosophy, University of Helsinki
Research and expertise
Research
I work as a postdoc researcher in the Marine Ecology Measurements group, utilizing the information produced by the phytoplankton imaging device in ecological research. I work on plankton and especially phytoplankton imaging. I develop and coordinate the data streams and automatic classification using artificial intelligence of the Imaging FlowCytobot (IFCB) device, as well as the utilization of the information produced by the device in various national and international projects. I also work on other plankton imaging devices (e.g. FlowCam, CytoSense, Planktoscope, Zooscan), and to promote the development of automatic classification methods and their integration into operational activities. In the fall of 2024, I defended my thesis on the suitability of phytoplankton imaging as a method for the Baltic Sea phytoplankton species, especially for bloom-forming cyanobacteria.
Projects
MAVOC, Research Council of Finland, (2024-2028) Methanethiol - an unaccounted natural aerosol precursor emitted from the marine biota
AQUATIME, European Space Agency, (2024-2026) Novel ecosystem and biodiversity indicators for the aquatic environment based on time series analysis of Sentinel Expansion Missions
AquaINFRA, Horizon Europe, (2023-2026) Infrastructure for Marine and Inland Water Research
FASTVISION-plus, Research Council of Finland, (2021–2025) Life in the fast lane: Revealing high-frequency plankton dynamics with multi-device imaging and open-set image classification
FASTVISION, Research Council of Finland, (2019–2021) Life in the fast lane: Computer vision and machine learning to unveil biodiversity dynamics and ecosystem responses in the planktonic realm
Memberships and networks
EuroGOOS Biological Working Group (BIOWG), member (2021)