Hello, my name is Pascal Thoya. I was born in the coastal town of Malindi Kenya where I spent most my childhood and teenage years.
I am undertaking a Masters Degree in Fisheries Science at Pwani University College Kenya. I did My Bsc, degree in Fisheries and aquatic Sciences at Moi University Kenya, and Acquired GIS and remote sensing skills from short courses at ITC, Netherlands and ESRI.
I am a research scientist at the Kenya Marine and Fisheries Research Institute (KMFRI), my research interests is in Marine spatial ecology and resource mapping. Currently I am working with a team of other scientists at KMFRI to try and model yellow fin tuna preferred fishing locations using satellite remotely sensed data. Previous Project that I have worked on includes Studying spatial behaviors of fishers and participatory Mapping of Community managed marine areas.
As a MyCOE/SEVIR fellow I will be working with the team in modeling the impacts of global environmental change on seagrass along the Kenyan coast,
When I have some free time Soccer gives me some good company both Playing and watching! I follow the EPL (MAN U Fan), and our local TPL (AFC Fan). Movies take some of My Free time too!
Maina here..I am a spatial ecologist with broad research interests and have
predominantly focused on coral reef systems. My ultimate goals are to
understand and predict how coastal and marine ecosystems will respond to
climate change, and to develop decision support tools.
I studied for my BSc. (Hon)
in natural sciences at Egerton University in Kenya, and a masters degree at ITC, The Netherlands. I am currently pursuing my PhD at Macquarie
University in Sydney. Previously, I have worked for Wildlife Conservation Society’s coral reefs conservation project
My research title is ‘Modeling the impacts of global environmental change on sea-grasses in Kenya'. This project aims to investigate the status and trends of sea-grasses along the Kenyan Coast. We will use moderate-high resolution remote sensing data to establish sea-grass trends over time and relate this to and environmental/ human factors. We will Also seek to develop habitat suitability maps for sea-grass using ecosystem-scale predictive models.