Mathilde Dugenne

Dr. Mathilde Dugenne is an Assistant Professor at the University of Geneva, affiliated with the Faculty of Science and the Department of Biology. Her research focuses on plankton species and their critical role in regulating Earth's climate and supporting aquatic food webs. She is actively involved in the ALGA project (Efflorescences Algales dans le Léman face aux Changements Globaux), which investigates phytoplankton and cyanobacteria blooms in Lake Geneva.

Her work integrates microbiology, imaging technology, and machine learning to monitor and understand plankton diversity and dynamics. Using data from the LéXPLORE platform, she develops AI-based tools for real-time classification of phytoplankton, aiming to support early detection of harmful blooms and inform environmental decision-making for lake stakeholders.

• Research spans microbial ecology, climate impacts on aquatic systems, and AI-driven environmental monitoring.
• Focus on practical applications for water quality, public health, and ecosystem management in Lake Geneva.

Dr. Dugenne has expertise in plankton taxonomy, imaging instruments for species identification, and mathematical modeling. Her interdisciplinary approach combines field observations with computational methods to address pressing environmental challenges.

She has not listed any scientific awards in the provided text.

Dr. Dugenne is actively mentoring students and leading research initiatives, though specific advisees are not named. Her project ALGA involves collaboration with environmental scientists and stakeholders to develop decision-support tools. She is involved in securing and managing research grants related to environmental monitoring and climate change impacts, although specific grants are not detailed.

Her work is closely tied to the LéXPLORE platform on Lake Geneva, a floating observatory dedicated to long-term ecological research. This platform enables high-frequency monitoring of physical, chemical, and biological parameters, forming the backbone of her team's data collection for plankton dynamics and bloom prediction.