Supervisor Database Search
Guidance for ICAT Supervisors
The ICAT Supervisor list is reviewed annually by the partner universities and updated online in March/April each year.
You can read about the ICAT supervisor selection process and eligibility criteria below:
Terms of reference/guide to supervising ICAT Fellows.
You can read the terms of reference for supervisors actively supervising ICAT Fellows below:
Supervisor Database
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Full NameProfessor Conor McAloon
Section of Herd Health and Animal Husbandry
University College Dublin
Webpage:people.ucd.ie
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- epidemiology/population health research
- one health
- artificial intelligence/machine learning/data analytics
- Veterinary Medicine
- Infectious diseases
- Veterinary Epidemiology
- Veterinary Public Health
Our research broadly entails the application of epidemiological modeling and analyses to investigate areas of particular importance in the health and welfare of farmed animals. In addition, we have a key focus on investigating and applying apposite statistical approaches for the analyses of large observational datasets. The ongoing areas of research in our group include: investigating environmental conditions associated with the development of respiratory disease in dairy calves; quantifying antimicrobial use on dairy farms and comparing data collection methods; application of Bayesian latent class analyses for non-gold standard diagnostic test data; the development of syndromic surveillance systems for the Irish cattle herd; estimation of local epidemiological parameters and simulation modeling for COVID-19; automated lameness detection in Irish dairy cattle; and investigation of the burden of animal disease in Ireland.
Potential research projects include further development of syndromic surveillance models; investigation of the association of biosecurity practices with animal health; automated detection of lameness in cattle using accelerometers; the use of mobility data to assess dairy calf welfare.