Faculty profile

Jessica Gronsbell

ResearcherCentre for Urban Health SolutionsUniversity of Toronto

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

Jessica Gronsbell

Researcher

Centre for Urban Health Solutions

Health Sciences

University of Toronto

Toronto, Ontario, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
28 publications in the last five years, latest in 2026.
Senior (last) author on 6 recent papers, a sign of leading a research group.
Principal investigator on 3 research grants (2 NSERC, 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

Citations

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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

Artificial Intelligence Electronic Medical Record Health Equity Machine Learning Natural Language Processing Primary Care Primary Health Care Quality Improvement

Latest papers

A study protocol for a predictive model to assess population‑based risk of adverse pregnancy outcomes: The Adverse Pregnancy Outcomes Population Risk Tool (PregPoRT).
Diagnostic and prognostic research · 2026
Building a Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care: Protocol for a FAIR-EC Study.
JMIR research protocols · 2026
Reliable fairness auditing with semi-supervised inference.
Biometrics · 2026 · senior author

All 29 publications

Latest funding

PRECISision prEvention in Primary Care (PRECISE Primary Care): Integrating biological, social and genomic data to support precision medicine in primary care for the prevention of key non-communicable diseases
CIHR · 2024 · Co-investigator
$20,000
Using artificial intelligence to derive data on the social determinants of health from electronic medical records
CIHR · 2023 · Principal investigator
$336,600
ARtificial intelligence to Enable Automated REspiratory illness Surveillance through Primary care (AREA-RESP)
CIHR · 2022 · Co-investigator
$99,972

All 5 grants and awards

29 publications.

A study protocol for a predictive model to assess population‑based risk of adverse pregnancy outcomes: The Adverse Pregnancy Outcomes Population Risk Tool (PregPoRT).

Chiodo S, Grandi SM, Gronsbell J, Rosella LC

Diagnostic and prognostic research2026

DOI: 10.1186/s41512-026-00220-3 PMID: 41772741

Building a Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care: Protocol for a FAIR-EC Study.

Hong C, Liew JCK, Yu J, Barry T, Blewer AL, Buckland DM, Cai T, Cha WC, Chakraborty B, Chen W, Cheng J, Chong SL, Djärv T, Earnest A, Engelhard M, Fan X, Feng M, Feng J, Fu H, Goh WWB, Goldstein BA, Gronsbell J, Ho AFW, Ho K, Iwami T, Joiner A, Kornblith A, Li S, Lim SL, Liu M, Liu Z, Lu L, Luo Y, Ng YY, Ning Y, Okada Y, Park JO, Park YR, Razzak J, Shen Y, Siddiqui FJ, Steel PAD, Tan KBK, Teixayavong S, Vakulenko-Lagun B, Vissoci JRN, Waligora G, Wang F, Wang H, Wang H, Wong AI, Xie F, Yang J, Zhang Y, Zhou D, Zhou L, Zhu T, Neumar R, Page D, Vaughan R, Ong MEH, Liu N

JMIR research protocols2026

DOI: 10.2196/74202 PMID: 42554297

Reliable fairness auditing with semi-supervised inference.

Gao J, Gronsbell J

Biometrics2026Senior author

DOI: 10.1093/biomtc/ujag142 PMID: 42720977

Prescription patterns of inhaler medications from 2017 to 2023: A retrospective study using Ontario administrative healthcare data.

Train A, Vemuri KK, Coderre-Ball A, Silva-Valencia J, Mulligan D, Butt DA, Gronsbell J, O'Neill B, Gershon A, Tu K

PloS one2026

DOI: 10.1371/journal.pone.0348119 PMID: 42268840

Trends in pulmonary exercise testing utilization after the COVID-19 pandemic in Ontario: A population-cohort study.

Silva-Valencia J, Tu K, Moineddin R, Butt DA, O'Neill B, Train A, Gronsbell J, Gershon AS

PloS one2026

DOI: 10.1371/journal.pone.0349020 PMID: 42189820

Comparing regular expression and machine learning approaches to predict immigrant status from primary care electronic medical record data in Ontario, Canada.

Garies S, Meaney C, Weyman K, Bloch G, Gronsbell J, Vahidi-Williams N, Wang R, Crampton N, Tu K, Pinto AD

PLOS digital health2026

DOI: 10.1371/journal.pdig.0001336 PMID: 41996344

Nonparametric estimation of the total treatment effect with multiple outcomes in the presence of terminal events.

Gronsbell J, McCaw ZR, Nogues IE, Kong X, Cai T, Tian L, Wei LJ

Biometrics2026First author

DOI: 10.1093/biomtc/ujag053 PMID: 42166186

Have pulmonary function testing rates recovered post-COVID-19 pandemic? A population-based study.

Silva-Valencia J, Tu K, Amog K, Moineddin R, Butt DA, Gronsbell J, O'Neill B, Train A, Gershon AS

Respiratory medicine2026

DOI: 10.1016/j.rmed.2026.109029 PMID: 42435914

Severe Outcomes and Length of Stay Among People With Schizophrenia Hospitalized for COVID-19: A Population-Based Retrospective Cohort Study.

Gronsbell J, Wang J, Thurston H, Gao J, Shi Y, Train AD, Butt D, Gershon A, O'Neill B, Tu K

Schizophrenia bulletin2026First author

DOI: 10.1093/schbul/sbaf066 PMID: 40432348

SARS-CoV-2 vaccination for individuals with schizophrenia in Ontario, Canada: A retrospective cohort study.

Ji C, Tu K, Wang J, Butt DA, Gershon AS, Gronsbell J, Train AD, O'Neill B

General hospital psychiatry2025

DOI: 10.1016/j.genhosppsych.2025.05.009 PMID: 40440784

Write to this professor

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Applying for

Paper to mentionMention their CIHR grant from 2023

Subject: Prospective PhD student: Artificial Intelligence Dear Professor Gronsbell, 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 study protocol for a predictive model to assess population‑based risk of adverse pregnancy outcomes: The Adverse Pregnancy Outcomes Population Risk Tool (PregPoRT)." (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 "Using artificial intelligence to derive data on the social determinants of health from electronic medical records" (2023), 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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Jessica Gronsbell

Research

Latest papers

Latest funding

A study protocol for a predictive model to assess population‑based risk of adverse pregnancy outcomes: The Adverse Pregnancy Outcomes Population Risk Tool (PregPoRT).

Building a Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care: Protocol for a FAIR-EC Study.

Reliable fairness auditing with semi-supervised inference.

Prescription patterns of inhaler medications from 2017 to 2023: A retrospective study using Ontario administrative healthcare data.

Trends in pulmonary exercise testing utilization after the COVID-19 pandemic in Ontario: A population-cohort study.

Comparing regular expression and machine learning approaches to predict immigrant status from primary care electronic medical record data in Ontario, Canada.

Nonparametric estimation of the total treatment effect with multiple outcomes in the presence of terminal events.

Have pulmonary function testing rates recovered post-COVID-19 pandemic? A population-based study.

Severe Outcomes and Length of Stay Among People With Schizophrenia Hospitalized for COVID-19: A Population-Based Retrospective Cohort Study.

SARS-CoV-2 vaccination for individuals with schizophrenia in Ontario, Canada: A retrospective cohort study.

PRECISision prEvention in Primary Care (PRECISE Primary Care): Integrating biological, social and genomic data to support precision medicine in primary care for the prevention of key non-communicable diseases

Using artificial intelligence to derive data on the social determinants of health from electronic medical records

ARtificial intelligence to Enable Automated REspiratory illness Surveillance through Primary care (AREA-RESP)

Statistical inference in labeled data limited settings

Statistical inference in labeled data limited settings

Frequent collaborators

Karen Tu

Braden O’Neill

Rahim Moineddin

Andrea Gershon

Christopher Meaney

Daniel Felsky

Karen Weyman

Stephanie Garies

Catherine Ji

Osnat Melamed

Peter Selby

Stephanie Garies

Kendall Ho

Laura Rosella

Jessica Gronsbell

Research

Latest papers

Latest funding

A study protocol for a predictive model to assess population&#x2011;based risk of adverse pregnancy outcomes: The Adverse Pregnancy Outcomes Population Risk Tool (PregPoRT).

Building a Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care: Protocol for a FAIR-EC Study.

Reliable fairness auditing with semi-supervised inference.

Prescription patterns of inhaler medications from 2017 to 2023: A retrospective study using Ontario administrative healthcare data.

Trends in pulmonary exercise testing utilization after the COVID-19 pandemic in Ontario: A population-cohort study.

Comparing regular expression and machine learning approaches to predict immigrant status from primary care electronic medical record data in Ontario, Canada.

Nonparametric estimation of the total treatment effect with multiple outcomes in the presence of terminal events.

Have pulmonary function testing rates recovered post-COVID-19 pandemic? A population-based study.

Severe Outcomes and Length of Stay Among People With Schizophrenia Hospitalized for COVID-19: A Population-Based Retrospective Cohort Study.

SARS-CoV-2 vaccination for individuals with schizophrenia in Ontario, Canada: A retrospective cohort study.

PRECISision prEvention in Primary Care (PRECISE Primary Care): Integrating biological, social and genomic data to support precision medicine in primary care for the prevention of key non-communicable diseases

Using artificial intelligence to derive data on the social determinants of health from electronic medical records

ARtificial intelligence to Enable Automated REspiratory illness Surveillance through Primary care (AREA-RESP)

Statistical inference in labeled data limited settings

Statistical inference in labeled data limited settings

Frequent collaborators

Karen Tu

Braden O’Neill

Rahim Moineddin

Andrea Gershon

Christopher Meaney

Daniel Felsky

Karen Weyman

Stephanie Garies

Catherine Ji

Osnat Melamed

Peter Selby

Stephanie Garies

Kendall Ho

Laura Rosella

A study protocol for a predictive model to assess population‑based risk of adverse pregnancy outcomes: The Adverse Pregnancy Outcomes Population Risk Tool (PregPoRT).