Alex Thomo, University of Victoria

Research

Read how they describe their research on their University of Victoria profile.

Large-scale graph algorithms social network analysis knowledge graphs LLM applications differential privacy data management systems

Latest papers

Predicting Electronic Health Record Usability: Scoping Review of Adoption Models, Metrics, and Future Directions.
JMIR human factors · 2026
Synthetic Generation of Patient Service Utilization Data: A Scalability Study.
Studies in health technology and informatics · 2024 · senior author
Integrative COVID-19 biological network inference with probabilistic core decomposition.
Briefings in bioinformatics · 2022

All 5 publications

Latest funding

Community-Centric Mining of Large-Scale Dynamic Graphs
NSERC · 2022 · Principal investigator
$144,000
Community-Centric Mining of Large-Scale Dynamic Graphs
NSERC · 2022 · Principal investigator
$120,000
CREATE in Visual and Automated Disease Analytics (VADA)
NSERC · 2017 · Co-investigator
$1,650,000

All 9 grants and awards

5 publications.

01

Predicting Electronic Health Record Usability: Scoping Review of Adoption Models, Metrics, and Future Directions.

Chrimes D, Thomo A, Kuo MA, Borycki EM, Kushniruk A

JMIR human factors2026

DOI: 10.2196/86076 PMID: 41950355

02

Synthetic Generation of Patient Service Utilization Data: A Scalability Study.

Howie J, Balasubramanian S, Bambi J, Moselle K, Srinivasan V, Thomo A

Studies in health technology and informatics2024Senior author

DOI: 10.3233/shti240511 PMID: 39176892

03

Integrative COVID-19 biological network inference with probabilistic core decomposition.

Guo Y, Esfahani F, Shao X, Srinivasan V, Thomo A, Xing L, Zhang X

Briefings in bioinformatics2022

DOI: 10.1093/bib/bbab455 PMID: 34791019

04

Scalable probabilistic truss decomposition using central limit theorem and H-index.

Esfahani F, Daneshmand M, Srinivasan V, Thomo A, Wu K

Distributed and parallel databases2022

DOI: 10.1007/s10619-022-07415-9 PMID: 35911177

05

Mining Association Rules in the BCCA Liver Cancer Data Set.

Pinheiro F, Kuo MH, Thomo A, Barnett J

Studies in health technology and informatics2015

PMID: 25676993

Community-Centric Mining of Large-Scale Dynamic Graphs

Principal investigatorNSERC2022Discovery Grants Program - Individual

Principal investigators: Thomo, Alex

Keywords: graph-structured data; social networks; algorithms for large graphs; massive and distributed data; dynamic graph algorithms; community discovery in social networks; intelligent datacentric systems

$144,000

Community-Centric Mining of Large-Scale Dynamic Graphs

Principal investigatorNSERC2022DND/NSERC Discovery Grant Supplement

Principal investigators: Thomo, Alex

$120,000

CREATE in Visual and Automated Disease Analytics (VADA)

Co-investigatorNSERC2017Collaborative Research and Training Experience

Principal investigators: Irani, Pourang PP

$1,650,000

Sensible Graph Analytics for Massive Interlinked Data and Social Networks

Principal investigatorNSERC2016Discovery Grants Program - Individual

Principal investigators: Thomo, Alex

$276,000

Self-Adaptive Smarter Systems Optimization Laboratory

Co-investigatorNSERC2012Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Muller, Hausi

$66,115

Extracting intelligence from an interconnected world of data

Principal investigatorNSERC2011Discovery Grants Program - Accelerator Supplements

Principal investigators: Thomo, Alex

$120,000

Extracting intelligence from an interconnected world of data

Principal investigatorNSERC2011Discovery Grants Program - Individual

Principal investigators: Thomo, Alex

$145,000

Toward flexible and efficient systems for advanced data integration, exchange and analysis

Principal investigatorNSERC2008Discovery Grants Program - Individual

Principal investigators: Thomo, Alex

$48,600

Integration of semistructured data-sources

Principal investigatorNSERC2005Discovery Grants Program - Individual

Principal investigators: Thomo, Alex

$72,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Computer Science
Health Information Science
Mathematics and Statistics
Math Statistics

Co-authors at University of Victoria, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Venkatesh Srinivasan

Computer Science

2 shared papers, latest 2022

Li Xing

Mathematics and Statistics

1 shared papers, latest 2022

Kui Wu

Computer Science

1 shared papers, latest 2022

Jonas Bambi

Health Information Science

1 shared papers, latest 2024

Dillon Chrimes

Health Information Science

1 shared papers, latest 2026

Andre Kushniruk

Health Information Science

1 shared papers, latest 2026

Xuekui Zhang

Math Statistics

1 shared papers, latest 2022

Write to this professor

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Applying for

Paper to mentionMention their NSERC grant from 2022

Subject: Prospective PhD student: Large-scale graph algorithms Dear Professor Thomo, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Predicting Electronic Health Record Usability: Scoping Review of Adoption Models, Metrics, and Future Directions." (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Community-Centric Mining of Large-Scale Dynamic Graphs" (2022), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]