Dr Tim Szewczyk


        Head shot of smiling Dr Tim Szewczyk during a hill walking trip

Lecturer in Ecological Modelling

A quantitative ecologist researching ecological dynamics across spatial scales, with a goal toward empirically-guided conservation and management in a changing world.

My current work focuses on modelling sea lice populations and harmful algal blooms for sustainable aquaculture.

Visit my software developers' GitHub pages

Contact details:

I am a quantitative ecologist with an interest in modelling biogeographic patterns of species and communities across space and time. I use multilevel Bayesian models, machine learning, and mechanistic simulations, with a particular interest in addressing the role that stochasticity and uncertainty play in our ability to predict community dynamics and responses to anthropogenic influences. My past work has included insects, mammals, and invasive plants, often in montane environments.

At SAMS, my research includes modelling sea lice dynamics, kelp population dynamics, and potential effects of deep sea mining on benthic ecosystems, as well as forecasting risk of harmful algal blooms and associated toxins.


Current projects

SMARTEX: A NERC funded project running 2023-25 - simulations of mining impacts

E(tive) Lice: A BBSRC funded project running 2024-26 - sea lice monitoring and modelling in dynamic coastal systems

COAST-SCAPES: An EU Horizon funded project running 2025-29 - modelling ecosystem impacts of climate change

OCCAM: An EU Horizon funded project running 2025-29 - geographic transfer of HAB and sea lice modelling systems

ACCLIMATISE: An SEUPT funded EU project running 2025-29 - HAB and phytoplankton 

 

Past highlight projects

Off Aqua: Sea lice disperal modelling and HAB forecasting. Funded by BBSRC and NERC. 2021-2023

Kelper: Population modelling for sustainable kelp harvesting in the UK, Chile and Peru. Funded by NERC. 2021-23

PRIMROSE: Funded by EU Interreg. 2023

Lecturing

BSc Marine Science programme: 2nd year Data Science - Module leader

BSc Marine Science programme: 4th year Marine Modelling - Populations and ecosystems lectures and practicals

MSc ACES programme: Key skills in algal biotechnology - Statistics and experimental design lectures and practicals

 

Szewczyk TM, D Aleynik, K Davidson. 2025. Ensemble models improve near-term forecasts of harmful algal bloom and biotoxin risk. Harmful Algae, 142, Article 102781. https://doi.org/10.1016/j.hal.2024.102781

Szewczyk TM, MT Burrows, T Adams, DA Smale, PJ Moore. 2024. Mechanistic simulations of kelp populations in a dynamic landscape of light, temperature, and winter storms. Ecological Modelling, 488, Article 110590. https://doi.org/10.1016/j.ecolmodel.2023.110590 

Szewczyk TM, Morro B, Díaz-Gil C, Gillibrand PA, Hardwick JP, Davidson K, Aleynik D, Rey Planellas S (2023) Interactive effects of multiple stressors with significant wave height exposure on farmed Atlantic salmon (Salmo salar) welfare along an inshore-offshore gradient. Aquaculture 579: 740184. https://doi.org/10.1016/j.aquaculture.2023.740184 

Vera LM, G de Alba, S Santos, TM Szewczyk, SA Mackenzie, FG Sanchez-Vazquez, & S Rey Planellas. 2023. Circadian rhythm of preferred temperature in fish: Behavioural thermoregulation linked to daily photocycles in zebrafish and Nile tilapia. Journal of Thermal Biology 113: 103544. https://doi.org/10.1016/j.jtherbio.2023.103544 

Szewczyk TM, MJ Ducey, V Pasquarella, JM Allen. 2021. Extending coverage and thematic resolution of compositional land cover maps in a hierarchical Bayesian framework. Ecological ApplicationsLinkGitHub repo.

McCain, CM, S King, TM Szewczyk. 2021. Unusually large upward shifts in cold-adapted, montane mammals as temperature warms. EcologyLinkGitHub repo.

Szewczyk TM, T Lee, MJ Ducey, ME Aiello-Lammens, H Bibaud, JM Allen. 2019. Local management in a regional context: Simulations with process-based species distribution models. Ecological ModellingLinkGitHub repo.

Szewczyk TM & CM McCain. 2019. Disentangling elevational richness: A multi-scale hierarchical Bayesian occupancy model of Colorado ant communities. Ecography 42(5): 977–988. Link.

McCain CM, S King, TM Szewczyk, J Beck. 2018. Small mammal species richness is directly linked to regional productivity, but decoupled from food resources, abundance, or habitat complexity. Journal of Biogeography 45(11): 2533-2545. Link.

Lydakis A, JM Allen, M Petrik, TM Szewczyk. 2018. Computing robust strategies for managing invasive plants. International Joint Conference on Artificial Intelligence and the European Conference on Artificial IntelligenceLink.

McCain CM, S King, TM Szewczyk, J Beck. 2018. Small mammal species richness is directly linked to regional productivity, but decoupled from food resources, abundance, or habitat complexity. Journal of Biogeography 45(11): 2533-2545. https://doi.org/10.1111/jbi.13432 

McCain CM, TM Szewczyk, K Bracy Knight. 2016. Population variability complicates the accurate detection of climate change responses. Global Change Biology 22(6): 2081-2093. Link.

Szewczyk TM & CM McCain. 2016. A systematic review of global drivers of ant elevational diversity. PLOS One 11(5): e0155404. Link.

Employment history

Since 2025 Lecturer in Ecological Modelling, SAMS

2021-2025 Ecological Modeller, SAMS

2019-2021 Postdoctoral Researcher. University of Lausanne

2017-2019 Postdoctoral Researcher. University of New Hampshire

 

Qualifications

2017 PhD Ecology & Evolutionary Biology. University of Colorado, Boulder

2009 BS Biological Sciences. University of Notre Dames