Current students and postdocs
(Want to work with us? Look here.)
Merlijn Surtel, PhD student, Strathclyde Maths and Stats. In a project led by Katy Tant (U Glasgow), Merlijn is developing process-informed deep-learning methods for predicting coastal wave environments.
Elliot Sivel, postdoc, Strathclyde Maths and Stats. Elliot is working on a life cycle model for wild Atlantic salmon, as a framework for integrating river-specific salmon data and larger-scale views of landscape and ocean change into the Missing Salmon Alliance’s Atlantic Salmon Decision Support Tool.
Aislinn Borland, PhD student, Strathclyde Maths and Stats. Aislinn is modelling movement and foraging in wild salmon post-smolts in their first few months at sea, in conjunction with Atlantic Salmon Trust, the Missing Salmon Alliance, and the SUPER DTP.
Emma Tyldesley, postdoc, Strathclyde Maths and Stats. Emma is modelling zooplankton with both machine-learning and process-based methods (random forests and Coltrane) to link past and future climate change in UK coastal seas to impacts on seabirds and wild salmon.
Paul Udom, PhD student, Strathclyde Maths and Stats. Paul is combining historical monitoring data, dynamical and statistical models, and remote sensing to add a biological component to harmful algal bloom forecasts in the US Pacific Northwest.
Soizic Garnier, PhD student, Strathclyde Maths and Stats. Soizic is developing a new, mid-complexity hydrodynamic model for fjords and sea lochs, with application to long-term change in Puget Sound, USA.
Alumni
Laura Hobbs used acoustic observations of vertical migration in high-latitude zooplankton to link the zooplankters’ behavioural choices to their variable environment, with the goal of improving large-scale models like Coltrane. This work was part of Arctic Prize and Diapod.
Fabian Grosse used a “Lagrangian sandbox” approach to tune a phytoplankton model for Atlantic and Pacific Arctic shelf seas, using in situ observations from the Arctic Prize and Peanuts programmes.
Hoa Nguyen developed a 1-D model of phytoplankton dynamics in Puget Sound, USA and integrated it with other models to assess the sensitivity of Puget Sound primary production to climate drivers.
Trevor Sloughter started by modelling seasonal variation in phytoplankton light sensitivity, following up on observations from the Bering Sea, and incorporated those dynamics into a regional phytoplankton model in conjunction with Arctic Prize.
Hally Stone‘s PhD addressed the relationship between transport and primary production in the Northern California Current using a realistic hindcast model, and application of this model system to real-time harmful algal bloom forecasts.
Agnes Olin combined a forage-fish life-history model, Continuous Plankton Recorder data, and long time series of seabird breeding success to work out mechanistic links from climate to sandeels and kittiwakes in Scottish waters and beyond.
Ricardo González Gil investigated phytoplankton dynamics in the 20-year time series from the Scottish Coastal Observatory at Stonehaven as a visiting postdoc.
Aidan Hunter worked on methods for large-scale hindcasts and projections of Arctic copepod dynamics using the Coltrane model, as a postdoc on the Diapod project.
Sofia Ferreira is now a Marie Curie fellow in fisheries biology at University of Oslo.
Kristen Davis is now a professor of coastal dynamics and Civil and Environmental Engineering at UC Irvine.
Sam Siedlecki is now a professor of coastal biogeochemistry at University of Connecticut.
Sarah Giddings is now a professor of coastal physical oceanography at Scripps.