Faculty profile

Russell Greiner

ResearcherComputing ScienceUniversity of Alberta

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Alberta directory, so their courses may be missing. Find their university profile.

Russell Greiner

Researcher

Computing Science

University of Alberta

Edmonton, Alberta, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
56 publications in the last five years, latest in 2026.
Senior (last) author on 15 recent papers, a sign of leading a research group.
Principal investigator on 8 research grants (8 NSERC), most recently in 2019.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

111

Publications

Citations

Collaborators

Grants

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

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Signals and details

Research

Computational Biology Disease management Individualized Treatment Effects Machine Learning Medical informatics Screening, Diagnosis and Prognosis Survival prediction / analysis

Latest papers

Machine Learning Predicts First Elective Bowel Resection in Newly Diagnosed Pediatric Crohn Disease Patients.
Journal of pediatric surgery · 2026
Language model-guided anticipation and discovery of mammalian metabolites.
Nature · 2026
Leveraging administrative health records and machine learning for population-level prediction of preterm birth.
American journal of obstetrics & gynecology MFM · 2026

All 111 publications

Latest funding

Nominated for the Brockhouse Canada Prize
NSERC · 2024 · Co-investigator
$85,000
One Health Modelling Network for Emerging Infections (OMNI)
NSERC · 2020 · Co-investigator
$2,500,000
Using Machine Learning for Effective Personalized Treatments
NSERC · 2019 · Principal investigator
$384,000

All 14 grants and awards

111 publications.

Machine Learning Predicts First Elective Bowel Resection in Newly Diagnosed Pediatric Crohn Disease Patients.

Suarez Suarez RG, Parsaee A, Ahmed S, Huynh HQ, Shaikh A, Otley A, Jacobson K, Sherlock M, Mack DR, Deslandres C, El-Matary W, Crowley E, deBruyn J, Benchimol EI, Walters T, Griffiths AM, Greiner R, Wine E, Canadian Children IBD Network

Journal of pediatric surgery2026

DOI: 10.1016/j.jpedsurg.2026.163488 PMID: 42767336

Language model-guided anticipation and discovery of mammalian metabolites.

Qiang H, Wang F, Lu W, Xing X, Kim H, Mérette SAM, Ayres LB, Oler E, AbuSalim JE, Roichman A, Neinast M, Cordova RA, Lee WD, Herbst E, Gupta V, Neff SL, Hiebert-Giesbrecht M, Young A, Gautam V, Tian S, Wang B, Röst H, Baidwan J, Greiner R, Chen L, Johnston CW, Foster LJ, Shapiro AM, Wishart DS, Rabinowitz JD, Skinnider MA

Nature2026

DOI: 10.1038/s41586-025-09969-x PMID: 41535467

Leveraging administrative health records and machine learning for population-level prediction of preterm birth.

Paul AK, Kalmady SV, Greiner R, Kaul P

American journal of obstetrics & gynecology MFM2026

DOI: 10.1016/j.ajogmf.2026.102033 PMID: 42288211

Using machine learning to predict clinical remission with exclusive enteral nutrition in pediatric Crohn disease.

Suarez RGS, McClement DG, Vega R, Huynh HQ, Shaikh A, Otley A, Jacobson K, Sherlock M, Mack DR, Deslandres C, El-Matary W, Crowley E, deBruyn J, Walters T, Griffiths AM, Greiner R, Eytan Wine, Canadian Children IBD Network

Journal of pediatric gastroenterology and nutrition2026

DOI: 10.1002/jpn3.70299 PMID: 41318965

Common Challenges in Predicting Opioid-related Outcomes Using Machine Learning.

Saha C, Guzman AD, Li Y, Gu C, Ward E, Bhat V, Hayward J, Weleff J, Ghosh SM, Greiner R, Greenshaw A, Liu YS, Cao B

Substance use & addiction journal2026

DOI: 10.1177/29767342261467589 PMID: 42544628

Censoring-adjusted tree-based policy learning for estimating dynamic treatment regimes with censored outcomes.

Paul AK, Greiner R

Scientific reports2026Senior author

DOI: 10.1038/s41598-026-53856-y PMID: 42414357

Fluorescence spectroscopy and machine learning methods for detection of Alzheimer's disease from circulating white blood cells.

Tsutsui S, Stepanchuk AA, Stys JP, Black SAG, Templeton GW, Greiner R, Stys PK

Journal of Alzheimer's disease : JAD2026

DOI: 10.1177/13872877261453512 PMID: 42231859

Temporally consistent survival prediction for non-uniform longitudinal data.

Fah H, Greiner R, Dixon RA

Journal of biomedical informatics2026

DOI: 10.1016/j.jbi.2026.104996 PMID: 41687902

Learning dynamic binary treatment policies under treatment selection bias: A Conservative Q-Learning approach with representation balancing.

Paul AK, Greiner R

Journal of biomedical informatics2026Senior author

DOI: 10.1016/j.jbi.2026.104994 PMID: 41679676

Cardiometabolic benefits of a non-industrialized-type diet are linked to gut microbiome modulation.

Li F, Armet AM, Korpela K, Liu J, Quevedo RM, Asnicar F, Seethaler B, Rusnak TBS, Cole JL, Zhang Z, Zhao S, Wang X, Gagnon A, Deehan EC, Mota JF, Bakal JA, Greiner R, Knights D, Segata N, Bischoff SC, Mereu L, Haqq AM, Field CJ, Li L, Prado CM, Walter J

Cell2025

DOI: 10.1016/j.cell.2024.12.034 PMID: 39855197

Nominated for the Brockhouse Canada Prize

Co-investigatorNSERC2024Brockhouse Canada Prize for Interdisciplinary Research in Science and Engineering

Principal investigators: Wishart, David S

$85,000

One Health Modelling Network for Emerging Infections (OMNI)

Co-investigatorNSERC2020Emerging Infectious Diseases Modelling Initiative (EIDM)

Principal investigators: Zhu, Huaiping

$2,500,000

Using Machine Learning for Effective Personalized Treatments

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: Greiner, Russell

Keywords: Computational Biology; Disease management; Individualized Treatment Effects; Machine Learning; Medical informatics; Screening, Diagnosis and Prognosis; Survival prediction / analysis

$384,000

Accurate Survival Prediction

Principal investigatorNSERC2018Engage Grants Program

Principal investigators: Greiner, Russell

$24,838

Using Machine Learning for Personalized Medicine

Principal investigatorNSERC2014Discovery Grants Program - Accelerator Supplements

Principal investigators: Greiner, Russell

$120,000

Using Machine Learning for Personalized Medicine

Principal investigatorNSERC2014Discovery Grants Program - Individual

Principal investigators: Greiner, Russell

$270,000

Screening for colorectal cancer and its precursors: a novel partnership

Principal investigatorNSERC2012Engage Grants Program

Principal investigators: Greiner, Russell

$24,721

MPrime Network (formerly MITACS) / Réseau MPrime (autrefois MITACS)

Co-investigatorNSERC2009Networks of Centres of Excellence

Principal investigators: Gupta, Arvind

$12,553,000

Machine learning for bio- and medical-informatics

Principal investigatorNSERC2007Discovery Grants Program - Individual

Principal investigators: Greiner, Russell

$294,000

Mathematics of Information Technology and Complex Systems/Les mathématiques des technologies de l'information et des systèmes complexes

Co-investigatorNSERC2005Networks of Centres of Excellence

Principal investigators: Gupta, Arvind

$17,419,000

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

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Russell Greiner

Research

Latest papers

Latest funding

Machine Learning Predicts First Elective Bowel Resection in Newly Diagnosed Pediatric Crohn Disease Patients.

Language model-guided anticipation and discovery of mammalian metabolites.

Leveraging administrative health records and machine learning for population-level prediction of preterm birth.

Using machine learning to predict clinical remission with exclusive enteral nutrition in pediatric Crohn disease.

Common Challenges in Predicting Opioid-related Outcomes Using Machine Learning.

Censoring-adjusted tree-based policy learning for estimating dynamic treatment regimes with censored outcomes.

Fluorescence spectroscopy and machine learning methods for detection of Alzheimer's disease from circulating white blood cells.

Temporally consistent survival prediction for non-uniform longitudinal data.

Learning dynamic binary treatment policies under treatment selection bias: A Conservative Q-Learning approach with representation balancing.

Cardiometabolic benefits of a non-industrialized-type diet are linked to gut microbiome modulation.

Nominated for the Brockhouse Canada Prize

One Health Modelling Network for Emerging Infections (OMNI)

Using Machine Learning for Effective Personalized Treatments

Accurate Survival Prediction

Using Machine Learning for Personalized Medicine

Using Machine Learning for Personalized Medicine

Screening for colorectal cancer and its precursors: a novel partnership

MPrime Network (formerly MITACS) / Réseau MPrime (autrefois MITACS)

Machine learning for bio- and medical-informatics

Mathematics of Information Technology and Complex Systems/Les mathématiques des technologies de l'information et des systèmes complexes

Frequent collaborators

Bo Cao

Sambasivarao Damaraju

Andrew Greenshaw

Jake Hayward

Hao Wang

Yanbo Zhang

Pouria Ramazi

Sanjay Kalra

Mark Snaterse

Ratmir Derda

Janice Robertson

Yana Yunusova

Kevan Jacobson

Abram Hindle

Angela Genge

Jens Walter

Maria Cutumisu

Ekaterina Rogaeva

Vickie Baracos

Jason Karamchandani

Anthony Otley

David Taylor

Jörg Sander

Bradley Goodyear

Tianyu Guan

Kristopher Wells