Faculty profile

Roger Tam

ResearcherSchool of Biomedical EngineeringUniversity of British Columbia

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

Roger Tam

Researcher

School of Biomedical Engineering

Engineering

University of British Columbia

Vancouver, British Columbia, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
32 publications in the last five years, latest in 2026.
Senior (last) author on 1 recent paper, a sign of leading a research group.
Principal investigator on 5 research grants (5 NSERC), most recently in 2024.
Supervisor on 1 trainee award (1 CIHR), most recently in 2023.

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

Publications

489

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

biomedical signal analysis machine learning classification neural networks deep learning representations similarity measures

Latest papers

Resistance training and depressive symptoms in subcortical vascular cognitive impairment: secondary results of a randomised clinical trial.
British journal of sports medicine · 2026
Machine learning to predict survival in patients treated for hepatocellular carcinoma: a systematic review.
American journal of surgery · 2026
Longitudinal magnetic resonance spectroscopy study of metabolite changes over 2 years in relapsing and primary progressive multiple sclerosis treated with ocrelizumab.
Multiple sclerosis (Houndmills, Basingstoke, England) · 2026

All 73 publications

Latest funding

Ultra-low field magnetic resonance imaging as an accessible tool for monitoring disease activity and progression in multiple sclerosis
CIHR · 2026 · Co-investigator
$761,176
Perimenopause & Exercise: Moving For a Stronger and Resilient Brain by the EPIC Team
CIHR · 2024 · Co-investigator
$1,075,000
Beyond the confusion matrix: A framework to compare neural network representations trained on biomedical data
NSERC · 2024 · Principal investigator
$40,000

All 14 grants and awards

73 publications.

Resistance training and depressive symptoms in subcortical vascular cognitive impairment: secondary results of a randomised clinical trial.

Falck RS, Barha CK, Stein RG, Grant S, Bullock A, Madden KM, Davis JC, Tam R, Liu-Ambrose T

British journal of sports medicine2026

DOI: 10.1136/bjsports-2026-112111 PMID: 42692806

Machine learning to predict survival in patients treated for hepatocellular carcinoma: a systematic review.

Antonsen A, Cadili L, Webb M, Connolly S, Tam R, Segedi M

American journal of surgery2026

DOI: 10.1016/j.amjsurg.2026.117029 PMID: 42155307

Longitudinal magnetic resonance spectroscopy study of metabolite changes over 2 years in relapsing and primary progressive multiple sclerosis treated with ocrelizumab.

MacMillan EL, Russell-Schulz B, Alejo G, Harp C, Cameron B, Winger R, Jia S, Herman A, Kassam J, Waine M, Vavasour IM, Cross H, Tam R, Traboulsee AL, Carruthers R, Kolind SH

Multiple sclerosis (Houndmills, Basingstoke, England)2026

DOI: 10.1177/13524585261456964 PMID: 42376811

Myelin damage in radiologically isolated syndrome is associated with decreased processing speed.

Kalau O, Johnson P, Oh J, Prat A, Vavasour IM, Laule C, Tam R, Keane C, Morrow SA, Wilken J, Schabas A, Lynd LD, Patten SB, Wilman AH, Zhang Y, Wee Yong V, Kolind SH, Traboulsee AL

Multiple sclerosis journal - experimental, translational and clinical2026

DOI: 10.1177/20552173261446217 PMID: 42153200

Generalizable spinal cord multiple sclerosis lesion segmentation across MRI contrasts, protocols, and centers.

Benveniste PL, Létourneau-Guillon L, Araujo D, Chougar L, Fetco D, Hori M, Kamiya K, Messina S, Tsagkas C, Audoin B, Bakshi R, Bannier E, Blezek D, Brisset JC, Callot V, Charlson E, Chen M, Ciccarelli O, Demortière S, Edan G, Filippi M, Granberg T, Granziera C, Hemond CC, Keegan BM, Kerbrat A, Kirschke J, Kolind S, Labauge P, Lee LE, Liu Y, Mainero C, McGinnis J, Laines Medina N, Mühlau M, Nair G, O'Grady KP, Oh J, Ouellette R, Prat A, Reich DS, Rocca MA, Shepherd TM, Smith SA, Stawiarz L, Talbott J, Tam R, Tauhid S, Traboulsee A, Treaba CA, Valsasina P, Vavasour Z, Yiannakas M, Lombaert H, Cohen-Adad J

Multiple sclerosis (Houndmills, Basingstoke, England)2026

DOI: 10.1177/13524585261427333 PMID: 42028790

Monitoring morphometric drift in lifelong learning segmentation of the spinal cord.

Naga Karthik E, Bédard S, Valošek J, Aigner CS, Bannier E, Bednařík J, Callot V, Combes A, Curt A, David G, Eippert F, Farner L, Fehlings MG, Freund P, Granberg T, Granziera C, Horn U, Horák T, Humphreys S, Hupp M, Kerbrat A, Kinany N, Kolind S, Kudlička P, Lebret A, Lee LE, Mainero C, Martin AR, McGrath M, Nair G, O'Grady KP, Oh J, Ouellette R, Pfender N, Pfyffer D, Pradat PF, Prat A, Pravatà E, Reich DS, Ricchi I, Rotem-Kohavi N, Schading-Sassenhausen S, Seif M, Smith A, Smith SA, Sweeney G, Tam R, Traboulsee A, Treaba CA, Tsagkas C, Vavasour Z, Van De Ville D, Weber Ii KA, Chandar S, Cohen-Adad J

Imaging neuroscience (Cambridge, Mass.)2026

DOI: 10.1162/imag.a.1105 PMID: 41585468

Design and validation of a low-cost modular simulator for training in neonatal laparotomy and jejunoileal atresia repair.

Yeung R, Kwon DS, Mashat A, Banga A, Livergant R, Tam R, Joharifard S

Journal of pediatric surgery2026

DOI: 10.1016/j.jpedsurg.2025.162521 PMID: 40812412

Correlations of myelin, axon, and inflammation metrics from multi echo T2 relaxation and multi-shell diffusion imaging in multiple sclerosis and healthy controls.

Joseph TS, Liu H, Kolind SH, Zhao G, Sun P, Carruthers R, Schabas A, Sayao AL, Devonshire V, Tam R, Moore GRW, Li DKB, Traboulsee A, Vavasour IM, Laule C

Multiple sclerosis and related disorders2025

DOI: 10.1016/j.msard.2025.106696 PMID: 41218291

Machine learning using clinical variables to screen for depression and anxiety in people with early multiple sclerosis.

Phillips B, Morrow SA, Singh H, Oh J, Kolind S, Lynd LD, Prat A, Tam R, Traboulsee A, Patten SB, CanProCo Study Group

Multiple sclerosis and related disorders2025

DOI: 10.1016/j.msard.2025.106761 PMID: 40975017

Cervical Spinal Cord Magnetization Transfer Ratio and Its Relationship With Clinical Outcomes in Multiple Sclerosis.

Lee LE, Cohen-Adad J, Vavasour IM, Guenette M, Sawicka K, Rashidi-Ranjbar N, Churchill N, Chopra A, Adelia A, Benveniste PL, Traboulsee A, Arbour N, Giuliani F, Lynd LD, Patten SB, Prat A, Schabas A, Smyth P, Tam R, Zhang Y, Graham SJ, Hodaie M, Feinstein A, Kolind S, Schweizer TA, Oh J, CanProCo Study Group

Annals of clinical and translational neurology2025

DOI: 10.1002/acn3.70113 PMID: 40583289

Ultra-low field magnetic resonance imaging as an accessible tool for monitoring disease activity and progression in multiple sclerosis

Co-investigatorCIHR2026Project Grant

Principal investigators: Kolind, Shannon

Keywords: Accessible Mri; Healthcare Accessibility; Magnetic Resonance Imaging; Multiple Sclerosis; Multiple Sclerosis Lesions; Multiple Sclerosis Monitoring; Multiple Sclerosis Progression; Multiple Sclerosis Volumetrics; Myelin; Ultra-Low Field Mri

$761,176

Perimenopause & Exercise: Moving For a Stronger and Resilient Brain by the EPIC Team

Co-investigatorCIHR2024Team Grant: CCNA Phase III: Sex/Gender/Dementia in Black/Racialized commu

Principal investigators: Liu-Ambrose, Teresa Y; Barha, Cindy; Galea, Liisa A; Nagamatsu, Lindsay S

Keywords: Cardiovascular Health; Exercise; Female Brain Health; Neuroimaging; Perimenopause; Primary Prevention; Sex Hormones

$1,075,000

Beyond the confusion matrix: A framework to compare neural network representations trained on biomedical data

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Tam, Roger

Keywords: biomedical signal analysis; machine learning; classification; neural networks; deep learning representations; similarity measures

$40,000

Care Anywhere: Smart Biosensors to Promote Healthy Aging and Transform Healthcare

Co-investigatorNSERC2023Collaborative Research and Training Experience

Principal investigators: Hodgson, Antony J

Keywords: aging; bioengineering; biosensors; digital health; health technologies; machine learning; remote monitoring; wearables

$450,000

Can we use machine learning to identify brain-based markers of cognitive performance from modifiable risk factors for dementia? An analysis of the UK Biobank Study

SupervisorCIHR2023CIHR Fellowship

Principal investigators: Falck, Ryan S

Keywords: Artificial Intelligence; Cognitive Health; Dementia; Machine Learning; Modifiable Risk Factors

$135,000

Ageism and Health Research, Delivery, and Outcomes in Older Adults

Co-investigatorCIHR2023Summer Program in Aging - Planning Grant

Principal investigators: Liu-Ambrose, Teresa Y; Eng, Janice J; Hoppmann, Christiane A; Hung, Lillian M; Hurd, Laura C; Madden, Kenneth M; Mortenson, William B

Keywords: Ageism; Health Delivery; Health Outcomes; Health Research; Older Adults

$100,000

Quantitative Susceptibility Mapping from Clinical Phase Data

Co-investigatorCIHR2022Project Grant

Principal investigators: Rauscher, Alexander

Keywords: Brain; Machine Learning; Mri; Neuroimaging

$275,400

Prediction of Cognitive and Motor Symptom Progression in Multiple Sclerosis Using Myelin Imaging

Co-investigatorCIHR2021Project Grant

Principal investigators: Kolind, Shannon; Traboulsee, Anthony

Keywords: Brain; Cognitive Impairment; Diffusion Imaging; Magnetic Resonance Imaging; Multiple Sclerosis; Myelin; Myelin Water Imaging; Neurodegeneration; Progression; Spinal Cord

$504,900

Predictive modeling in multiple sclerosis: using real world data to inform practice, policy, and research

Co-investigatorCIHR2021Project Grant

Principal investigators: Cragg, Jacquelyn J; Lynd, Larry D

Keywords: Data Linkage; Disease Progression; Multiple Sclerosis; Predictive Disease Modeling

$470,475

Technologies for Home Medication Vigilance and Protection (TEC4Home MVP)

Co-investigatorCIHR2020Project Grant - Priority Announcement: Health Services and Policy Research

Principal investigators: Ho, Kendall; McGavin, Colleen B; Taylor, Deanne C

Keywords: Continuity Of Care; Data Science; Digital Health; Health Services; Heart Failure; Home Health Monitoring; Medication Adherence; Polypharmacy

$50,000

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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Roger Tam

Research

Latest papers

Latest funding

Resistance training and depressive symptoms in subcortical vascular cognitive impairment: secondary results of a randomised clinical trial.

Machine learning to predict survival in patients treated for hepatocellular carcinoma: a systematic review.

Longitudinal magnetic resonance spectroscopy study of metabolite changes over 2&#x2009;years in relapsing and primary progressive multiple sclerosis treated with ocrelizumab.

Myelin damage in radiologically isolated syndrome is associated with decreased processing speed.

Generalizable spinal cord multiple sclerosis lesion segmentation across MRI contrasts, protocols, and centers.

Monitoring morphometric drift in lifelong learning segmentation of the spinal cord.

Design and validation of a low-cost modular simulator for training in neonatal laparotomy and jejunoileal atresia repair.

Correlations of myelin, axon, and inflammation metrics from multi echo T2 relaxation and multi-shell diffusion imaging in multiple sclerosis and healthy controls.

Machine learning using clinical variables to screen for depression and anxiety in people with early multiple sclerosis.

Cervical Spinal Cord Magnetization Transfer Ratio and Its Relationship With Clinical Outcomes in Multiple Sclerosis.

Beyond the confusion matrix: A framework to compare neural network representations trained on biomedical data

Care Anywhere: Smart Biosensors to Promote Healthy Aging and Transform Healthcare

Frequent collaborators

Anthony Traboulsee

Shannon Kolind

Teresa Liu-Ambrose

Jiwon Oh

Alexander Rauscher

Alexandre Prat

Vesna Sossi

Julien Cohen-Adad

Kendall Ho

Nathalie Arbour

Fabrizio Giuliani

Penelope Smyth

Paul Khairy

Laurent Macle

Yunyan Zhang

Wei Zhang

Scott Patten

Piotr Kozlowski

Larry Lynd

Nathaniel Hawkins

Longitudinal magnetic resonance spectroscopy study of metabolite changes over 2 years in relapsing and primary progressive multiple sclerosis treated with ocrelizumab.