Chloe Game

Chloe Game is a Postdoctoral Fellow and MSCA SEAS Fellow at the Department of Informatics, University of Bergen, Norway. Her work bridges marine science and computer science, focusing on the application of machine learning and computer vision to benthic ecology and underwater imaging.

Her research interests lie at the intersection of marine ecology, image processing, machine learning, and computer vision. She develops accessible and standardized tools to enable ecologists without technical expertise to analyze deep-sea benthic habitats using underwater imagery. Her work emphasizes real-world impact, particularly in monitoring vulnerable marine ecosystems under threat from activities like seabed mining.

Her recent publications reveal a strong focus on underwater image enhancement (e.g., Weibull Tone Mapping), automated habitat classification, and the development of standardized marine imaging frameworks. These works demonstrate a consistent effort to improve data quality, accessibility, and analytical rigor in marine ecological studies using AI-driven methods.

• Marie Skłodowska-Curie Actions (MSCA) SEAS Fellow

Chloe Game leads a research project (2024–2027) funded by the Marie Skłodowska-Curie grant, aimed at developing automated multi-modal monitoring of vulnerable marine ecosystems by integrating image data with environmental variables. She collaborates with the Mareano Project (Institute of Marine Research) and the Centre for Deep Sea Research at the University of Bergen, working on the Norwegian Continental Shelf and the Arctic Mid-Ocean Ridge. While no formal students are listed, her role involves mentoring and collaborative research in a high-impact interdisciplinary setting.

She is actively involved in initiatives to standardize marine imaging and taxon identification, contributing to global efforts in marine biodiversity monitoring. Her work supports the creation of baseline maps for environmental impact assessments, particularly in anticipation of seabed mining activities in Norway.