Faculty profile

Raymond Ng

ResearcherComputer ScienceUniversity 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 and email address may be missing. Find their university profile.

Raymond Ng

Researcher

Computer Science

Health Sciences

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.
12 publications in the last five years, latest in 2026.
Senior (last) author on 3 recent papers, a sign of leading a research group.
Principal investigator on 19 research grants (15 NSERC, 4 CIHR), most recently in 2026.
Supervised 2 trainees who won CIHR awards, 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

Citations

h-index

Collaborators

Grants

Publications by year

Counts cover the works listed on the university profile; citation counts come from Dimensions.

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Signals and details

Research

Bioinformatics Biomarkers Computational Biology Diagnostics Observational Cohort Study Omics Breast Cancer Care Cancer Delivery

Latest papers

A Chatbot for the Management of Bipolar Disorder: Using Retrieval-Augmented Generation With an Open-Weight Large Language Model to Answer Clinical Questions Based on the CANMAT and ISBD 2018 Guidelines for Bipolar Disorder: Un dialogueur pour la prise en charge du trouble bipolaire : utiliser la génération augmentée par récupération avec un grand modèle de langage (GML) à poids ouverts pour répondre aux questions cliniques fondées sur les lignes directrices de 2018 de CANMAT et de l'ISBD relatives au trouble bipolaire.
Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2026
Artificial intelligence (AI) psychosis: mechanisms, clinical risks and safety considerations in generative AI chatbots.
BJPsych open · 2026 · senior author
Bioinformatics strategies and biomarker refinement using high-throughput transcriptome data in transplantation.
Frontiers in bioinformatics · 2026

All 29 publications

Latest funding

SMART-BC: A Scalable Machine-Assisted Referral Triage system for Breast Cancer care
CIHR · 2026 · Principal investigator
$100,000
Towards precision health in chronic obstructive pulmonary disease: A single-cell and spatial transcriptomics atlas of airways across the full spectrum of disease severity
CIHR · 2023 · Supervisor
$105,000
COVID-19 Variant Supplement - Predicting the risk of developing mental and substance use disorders due to COVID-19: machine learning applied to health service utilization data to facilitate access to effective treatments.
CIHR · 2021 · Co-investigator
$50,000

All 40 grants and awards

29 publications.

A Chatbot for the Management of Bipolar Disorder: Using Retrieval-Augmented Generation With an Open-Weight Large Language Model to Answer Clinical Questions Based on the CANMAT and ISBD 2018 Guidelines for Bipolar Disorder: Un dialogueur pour la prise en charge du trouble bipolaire : utiliser la génération augmentée par récupération avec un grand modèle de langage (GML) à poids ouverts pour répondre aux questions cliniques fondées sur les lignes directrices de 2018 de CANMAT et de l'ISBD relatives au trouble bipolaire.

Mali Y, Zeng Z, Heo K, Zhang G, Kashyap A, Chen J, Keramatian K, Saraf G, Solmi M, Tam E, Parikh SV, Schaffer A, Beaulieu S, Ng R, Yatham LN, Nunez JJ

Canadian journal of psychiatry. Revue canadienne de psychiatrie2026

DOI: 10.1177/07067437261457232 PMID: 42274191

Artificial intelligence (AI) psychosis: mechanisms, clinical risks and safety considerations in generative AI chatbots.

Olisaeloka L, Nunez JJ, Vigo DV, Ng R

BJPsych open2026Senior author

DOI: 10.1192/bjo.2026.12021 PMID: 42273786

Bioinformatics strategies and biomarker refinement using high-throughput transcriptome data in transplantation.

Günther OP, Sherwood KR, Fenninger F, Balshaw RF, Scherer A, Hollander Z, Ng R, Wilson-McManus J, McMaster WR, McManus BM, Keown PA

Frontiers in bioinformatics2026

DOI: 10.3389/fbinf.2026.1677453 PMID: 42028568

Development of a machine learning model for automatic data extraction from breast cancer pathology reports.

Kwok COT, Arbour G, Zhang A, Hiemstra J, Nichol AM, Ng R, Isaac KV

Scientific reports2025

DOI: 10.1038/s41598-025-23461-6 PMID: 41233415

Using a Longformer Large Language Model for Segmenting Unstructured Cancer Pathology Reports.

Fung D, Arbour G, Malik K, Muzio K, Ng R

JCO clinical cancer informatics2025Senior author

DOI: 10.1200/cci-24-00143 PMID: 40036729

Blood Transcriptomic and Inflammatory Protein Biomarkers Associated with Imminent Pulmonary Exacerbation Risk in Cystic Fibrosis.

Dong K, Jang J, Shannon CP, Ng R, Tebbutt SJ, Quon BS

Annals of the American Thoracic Society2024

DOI: 10.1513/annalsats.202402-215oc PMID: 39137349

Classifying Tumor Reportability Status From Unstructured Electronic Pathology Reports Using Language Models in a Population-Based Cancer Registry Setting.

Gondara L, Simkin J, Arbour G, Devji S, Ng R

JCO clinical cancer informatics2024Senior author

DOI: 10.1200/cci.24.00110 PMID: 39561305

Uncovering molecular features driving lung adenocarcinoma heterogeneity in patients who formerly smoked.

Wang P, Ng R, Lam S, Lockwood WW

Journal of translational medicine2024

DOI: 10.1186/s12967-024-05437-8 PMID: 38978078

A platform for connecting social media data to domain-specific topics using large language models: an application to student mental health.

Ruocco L, Zhuang Y, Ng R, Munthali RJ, Hudec KL, Wang AY, Vereschagin M, Vigo DV

JAMIA open2024

DOI: 10.1093/jamiaopen/ooae001 PMID: 38250583

Machine Learning to Predict the Need for Postmastectomy Radiotherapy after Immediate Breast Reconstruction.

Chen YF, Chawla S, Mousa-Doust D, Nichol A, Ng R, Isaac KV

Plastic and reconstructive surgery. Global open2024

DOI: 10.1097/gox.0000000000005599 PMID: 38322813

SMART-BC: A Scalable Machine-Assisted Referral Triage system for Breast Cancer care

Principal investigatorCIHR2026PJT PA: ICR - Lev. AI to trans. canc. rese. - AI to accel. Breast Can. Research

Principal investigators: Isaac, Kathryn V; Ng, Raymond; Nichol, Alan M; Warburton, Rebecca

Keywords: Breast Cancer Care; Cancer Delivery; Health Services Research; Machine Learning

$100,000

Towards precision health in chronic obstructive pulmonary disease: A single-cell and spatial transcriptomics atlas of airways across the full spectrum of disease severity

SupervisorCIHR2023Doctoral Research Award: Canada Graduate Scholarships

Principal investigators: Yang, Chen Xi

Keywords: Airway Biopsy; Chronic Obstructive Pulmonary Disease; Omics Integration; Single-Cell Rna-Sequencing; Spatial Deconvolution; Spatial Transcriptomics

$105,000

COVID-19 Variant Supplement - Predicting the risk of developing mental and substance use disorders due to COVID-19: machine learning applied to health service utilization data to facilitate access to effective treatments.

Co-investigatorCIHR2021Operating Grant: SARS-CoV-2 variants supplement stream 1

Principal investigators: Vigo, Daniel V; Yatham, Lakshmi N

Keywords: Administrative Data; Artificial Intelligence; Covid-19; Health Systems; Machine Learning; Mental Disorders; Mental Health; Predictive Modelling; Substance Use; Substance Use Disorders

$50,000

Mining the infant gut microbiota to predict and prevent asthma: data from the CHILD Cohort Study

SupervisorCIHR2021Doctoral Research Award: Canada Graduate Scholarships

Principal investigators: DAI, LIYING

Keywords: Asthma; Immunology; Microbiome; Omics; Precision Health

$105,000

Pacific Rim Ocean Data Mobilization and Technology (PRODIGY)

Co-investigatorNSERC2021Collaborative Research and Training Experience

Principal investigators: Tortell, Philippe

$1,050,000

Automated Extraction of Fields of Interest from Unstructured Documents

Principal investigatorNSERC2021Alliance Grants

Principal investigators: Ng, Raymond T

$544,000

NSERC CREATE in ecology, evolution and environmental science: The Living Data Project

Co-investigatorNSERC2020Collaborative Research and Training Experience

Principal investigators: Srivastava, Diane

$1,350,000

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

Predicting the risk of developing mental and substance use disorders due to COVID-19: machine learning applied to health service utilization data to facilitate access to effective treatments.

Co-investigatorCIHR2020Op. Grant: COVID-19 MS & Substance Use - Matching Access to Service with Needs

Principal investigators: Vigo, Daniel V; Yatham, Lakshmi N

Keywords: Administrative Data; Artificial Intelligence; Covid-19; Health Systems; Machine Learning; Mental Disorders; Mental Health; Predictive Modelling; Substance Use; Substance Use Disorders

$199,860

Data Science and Composite Materials Manufacturing_x000d_

Principal investigatorNSERC2019Alliance Grants

Principal investigators: Ng, Raymond

$355,556

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

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their CIHR grant from 2026

Subject: Prospective PhD student: Bioinformatics Dear Professor Ng, 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 "A Chatbot for the Management of Bipolar Disorder: Using Retrieval-Augmented Generation With an Open-Weight Large Language Model to Answer Clinical Questions Based on the CANMAT and ISBD 2018 Guidelines for Bipolar Disorder: Un dialogueur pour la prise en charge du trouble bipolaire : utiliser la génération augmentée par récupération avec un grand modèle de langage (GML) à poids ouverts pour répondre aux questions cliniques fondées sur les lignes directrices de 2018 de CANMAT et de l'ISBD relatives au trouble bipolaire." (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 CIHR-funded project "SMART-BC: A Scalable Machine-Assisted Referral Triage system for Breast Cancer care" (2026), 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]

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Raymond Ng

Research

Latest papers

Latest funding

Artificial intelligence (AI) psychosis: mechanisms, clinical risks and safety considerations in generative AI chatbots.

Bioinformatics strategies and biomarker refinement using high-throughput transcriptome data in transplantation.

Development of a machine learning model for automatic data extraction from breast cancer pathology reports.

Using a Longformer Large Language Model for Segmenting Unstructured Cancer Pathology Reports.

Blood Transcriptomic and Inflammatory Protein Biomarkers Associated with Imminent Pulmonary Exacerbation Risk in Cystic Fibrosis.

Classifying Tumor Reportability Status From Unstructured Electronic Pathology Reports Using Language Models in a Population-Based Cancer Registry Setting.

Uncovering molecular features driving lung adenocarcinoma heterogeneity in patients who formerly smoked.

A platform for connecting social media data to domain-specific topics using large language models: an application to student mental health.

Machine Learning to Predict the Need for Postmastectomy Radiotherapy after Immediate Breast Reconstruction.

SMART-BC: A Scalable Machine-Assisted Referral Triage system for Breast Cancer care

Towards precision health in chronic obstructive pulmonary disease: A single-cell and spatial transcriptomics atlas of airways across the full spectrum of disease severity

COVID-19 Variant Supplement - Predicting the risk of developing mental and substance use disorders due to COVID-19: machine learning applied to health service utilization data to facilitate access to effective treatments.

Mining the infant gut microbiota to predict and prevent asthma: data from the CHILD Cohort Study

Pacific Rim Ocean Data Mobilization and Technology (PRODIGY)

Automated Extraction of Fields of Interest from Unstructured Documents

NSERC CREATE in ecology, evolution and environmental science: The Living Data Project

Technologies for Home Medication Vigilance and Protection (TEC4Home MVP)

Predicting the risk of developing mental and substance use disorders due to COVID-19: machine learning applied to health service utilization data to facilitate access to effective treatments.

Data Science and Composite Materials Manufacturing_x000d_

Frequent collaborators

Scott Tebbutt

Bruce McManus

Stephen Lam

Mohsen Sadatsafavi

Paul Keown

Khaled El Emam

Serge Beaulieu

Kamyar Keramatian

Gayatri Saraf

Marco Solmi

Ayal Schaffer

Alan Nichol

Victor Ling

Decheng Yang

Marco Marra

Steven Jones

Calum Macaulay

Alice Mui

Gabriela Cohen Freue