Welcome to the Maguire Lab
We are a research group jointly based in Dalhousie’s Faculty of Computer Science and the Faculty of Medicine’s Department of Community Health & Epidemiology.
Our aim is to develop and collaboratively apply data-driven methods to try and mitigate health and social crises. This is focused on two main areas: genomic epidemiology of infectious diseases and inter-disciplinary collaborations with domain experts
Specifically, this former work involves developing and applying novel microbial bioinformatics and machine learning approaches to better understand the diagnosis, evolution, and dynamics of infectious diseases. We largely work on problems related to antimicrobial resistance (AMR) and, in the last couple of years, the COVID-19 pandemic with national and international consortia of clinicians and public health experts. Whereas, our broader collaborative data science works includes work exploring online radicalisation with sociologists, patient preference at refugee clinics, and autism-related language-use.
For more details about specific projects, collaborators, and funding sources see Research).
We are located in Dalhousie University and have strong ties to the Shared Hospital Lab located at Sunnybrook Health Sciences Centre, the CARD, the Canadian Food Inspection Agency, and the Public Health Agency of Canada. This also includes national and international public health consortia such as IRIDA, CanCOGeN, and PHA4GE.
Joining the Lab
We are looking for new enthusiastic and creative PhD students to join the team!
Funding
We are grateful for funding from Dalhousie University, CIHR, NSERC, CANMOD, Genome Canada, SSHRC, and (via PHA4GE) the BMGF.
News
21 June 2025Finlay Maguire gave an invited talk as ASM Microbe in Los Angeles on the interpretation and contextualisation of AMR genotypic results
David Mahoney was awarded a Canadian Bioinformatics Hub Training Award to support attendance of a relevant workshop or conference
Two SARS-CoV-2 papers from the clinical lab were recently published: Natalie Deschenes paper in the Journal of Infectious Disease on Nirmatrelvir resistance mutations and Kuganya Nirmalarajah’s paper in BMC Infectious Diseases on severe infection predictive factors
In work led by Luis Pedro Coelho’s group we published a tool called ArgNorm in Bioinformatics which annotates hAMRonized AMR gene prediction tool output to CARD’s Antibiotic Resistance Ontology
Jon Kotwa and Akrabed Bhuinya’s work discovering and characterising the genome and virology of novel alphacoronaviruses in Canadian big brown and little brown bats was published in npj Viruses
Our latest mixed-method sociological paper with Dr. Mike Halpin was published in Sociology of Health * Illness
Long-running work with Samira Mubareka’s group on SARS-CoV-2 animal model characterisation was published in NPJ Viruses
Joe Zeppa (clinical microbiology resident)’s work characterising invasive group A Streptococcus was published from our clinical lab in ASM Microbe.
Malcolm Tait has been appointed awarded a scholarship as part of the inaugural cohort of the Canadian One Health Training Program for Emerging Zoonoses (COHTPEZ)