Professor Crawford Revie

Computer and Information Sciences

Personal statement

I am a Professor of Data Analytics in the Department of Computer and Information Sciences.

Much of my research takes place at the intersection of informatics and the life sciences; in particular I have worked extensively with data-driven models of disease and host-parasite dynamics in both human and animal populations. I have interests in novel methods to collect, manage and make statistical inferences from large and heterogeneous data sets. The application of such methods for passive (or syndromic) surveillance of disease is an on-going area of research interest.

I have recently returned to the UK (2018) after spending a decade at the Atlantic Veterinary College, UPEI, where I held a Canada Research Chair in Population Health: Epi-Informatics. Prior to moving to Canada and for much of my time there a key focus of my work was on understanding fish health and the requirements to enable sustainable salmon aquaculture - in particular my research group's work on sea lice modelling is widely acknowledged as world leading.

One of my research passions at present concerns the use of mobile technology to deliver differential disease diagnostic support to rural communities in LMICs. My group is building on earlier successful pilot studies to develop the use of domain-agnostic design approaches, based on the semantic web and ontologies, to deliver such support tools at scale and in a manner that effectively mitigates geographic and species-specific limitations.



Salmon lice should be managed before they attach to salmon : exploring epidemiological factors affecting Lepeophtheirus salmonis abundance on salmon farms
Jeong Jaewoon, Stormoen Marit, McEwan Gregor F, Thakur Krishna K, Revie Crawford W
Aquaculture Vol 541 (2021)
Data-driven surveillance : effective collection, integration, and interpretation of data to support decision making
Dórea Fernanda C, Revie Crawford W
Frontiers in Veterinary Science Vol 8 (2021)
Validation of a sea lice dispersal model : principles from ecological agent-based models applied to aquatic epidemiology
Cantrell Danielle, Vanderstichel Raphael, Filgueira Ramón, Grant Jon, Revie Crawford
Aquaculture Environment Interactions (AEI) Vol 13, pp. 65-79 (2021)
A stepwise integrated risk-assessment framework in aquaculture : the case of sea lice tolerance to freshwater treatments on salmon farms
Laurin Emilie, Stormoen Marit, Revie Crawford, Sanchez Javier
Aquaculture Environment Interactions (AEI) Vol 12, pp. 417-428 (2020)
Rearing and handling injuries in broiler chickens and risk factors for wing injuries during loading
Cockram Michael S, Dulal Ketan Jung, Stryhn Henrik, Revie Crawford W
Canadian Journal of Animal Science Vol 100, pp. 402-410 (2020)
Variation in the post-smolt growth pattern of wild one sea-winter salmon (Salmo salar L.), and its linkage to surface warming in the eastern North Atlantic Ocean
Todd Christopher D, Hanson Nora N, Boehme Lars, Revie Crawford W, Marques Ana R
Journal of Fish Biology (2020)

More publications

Professional activities

2015 Annual Conference of the Society for Veterinary Epidemiology and Preventive Medicine
Keynote/plenary speaker

More professional activities


Doctoral Training Partnership 2018-19 University of Strathclyde | Meggetto, Francesco
Moshfeghi, Yashar (Principal Investigator) Revie, Crawford (Co-investigator) Weir, George (Co-investigator) Meggetto, Francesco (Research Co-investigator)
01-Jan-2019 - 01-Jan-2023
D3F - Differential Disease Diagnosis Framework
Revie, Crawford (Principal Investigator)
01-Jan-2018 - 30-Jan-2020
Impact of climate change on pests and diseases the spread of pests and diseases in Scotland
Kleczkowski, Adam (Principal Investigator) Revie, Crawford (Co-investigator)
01-Jan-2018 - 31-Jan-2019
Revie, Crawford (Principal Investigator)
01-Jan-2016 - 31-Jan-2019
Strategic sea lice treatments: Implementation and impact within Scottish TWG AMAs
Revie, Crawford (Principal Investigator) Gettinby, George (Co-investigator)
01-Jan-2008 - 31-Jan-2008

More projects


Computer and Information Sciences
Livingstone Tower

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