Jaeyoon Park
About Jaeyoon Park
Jaeyoon Park is a Senior Data Scientist and Asia Research Lead at Global Fishing Watch, where he builds a global vessel database and analyzes fishing activities using satellite data. With a background in computer science and environmental engineering, he has worked with various organizations, including UNEP and WWF-Korea, and has published research on the fishing industry.
Work at Global Fishing Watch
Jaeyoon Park has been serving as the Senior Data Scientist and Asia Research Lead at Global Fishing Watch since 2020. In this role, he builds a global vessel database through an automated system that integrates vessel registries with AIS data. His work involves analyzing fishing activities using satellite data to identify industrial fishing vessels worldwide. Prior to his current position, he worked as a Data Scientist at Global Fishing Watch from 2017 to 2019.
Education and Expertise
Jaeyoon Park holds a Bachelor’s degree in Computer Science from the Korea Advanced Institute of Science and Technology, where he studied from 2000 to 2005. He furthered his education at Mines Paris, earning an engineering degree in Environmental and Industrial Development Processes from 2006 to 2008. His academic background combines technical knowledge in computer science with environmental engineering, equipping him with a unique skill set for his research and analysis work.
Background
Before joining Global Fishing Watch, Jaeyoon Park held various positions that contributed to his expertise in environmental science and data analysis. He worked as an Associate Programme Officer at UNEP from 2012 to 2015 in Bangkok, Thailand, and as a Senior Program Officer at WWF-Korea for five months in 2015. Additionally, he served as a Research Engineer at Veolia Environnement from 2008 to 2011 in Limay, France.
Research Contributions
Jaeyoon Park has published significant research in the field of fishing industry analysis. His works include studies on the high seas fishing industry, tracking the elusive and shifting identities of the global fishing fleet, and illuminating dark fishing fleets in North Korea. He leads research projects in collaboration with fisheries research institutes and national government agencies in Taiwan, Vietnam, and South Korea.
Technical Skills
Jaeyoon Park primarily codes in Python, utilizing this programming language to analyze data and develop automated systems for vessel tracking. His technical skills support his research initiatives and contribute to the effective integration of various data sources in his current role.