Faculty profile

Divya Sharma

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Assistant ProfessorBiostatistics DivisionUniversity of Toronto

Divya Sharma

Assistant Professor

Biostatistics Division

Dalla Lana School of Public Health

University of Toronto

Toronto, Ontario, Canada

Supervision signals

Professors usually supervise graduate students in their department's programs.
30 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 CIHR), most recently in 2026.
Supervised 1 trainee who won CIHR awards, most recently in 2025.

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

Artificial Intelligence Machine Learning Conversational Agent Deep Learning Endotypes Genomics Knee Osteoarthritis Methylomics

Latest papers

Assessing the impact of safety guardrails on large language models using irritability metrics.
NPJ digital medicine · 2026
Alignment of Large Language Model Responses With Human Therapists in Motivational Interviewing.
JAMA network open · 2026
A multiagent large language model-based system to simulate the liver transplant selection committee: a retrospective cohort study.
The Lancet. Digital health · 2026

All 32 publications

Latest funding

Application of Multi-Omics and Deep Learning for Endotyping and Theratyping in Osteoarthritis
CIHR · 2026 · Nominated PI
$726,752
MIRA for Adaptive CLinical Evaluation in Depression (MIRACLE-D): Design and Evaluation of an AI-Powered Personalized Virtual Assistant for Depression Care
CIHR · 2026 · Principal investigator
$100,000
Personalized Modeling and Optimization of Transcranial Temporal Interference Stimulation for Major Depressive Disorder
CIHR · 2025 · Supervisor
$140,000

All 8 grants and awards

32 publications.

Assessing the impact of safety guardrails on large language models using irritability metrics.

Teferra BG, Johny N, Huang S, Rueda A, Kamaleddin MA, Dunlop K, Zhang Y, Jha M, Sharma D, Bhat V

NPJ digital medicine2026

DOI: 10.1038/s41746-025-02333-3 PMID: 41507509

Alignment of Large Language Model Responses With Human Therapists in Motivational Interviewing.

Teferra BG, Huang S, Johny N, Perivolaris A, Al-Shamali H, Parkington K, Rueda A, Zeifman RJ, Sharma D, Krishnan S, Monson C, Bhat V

JAMA network open2026

DOI: 10.1001/jamanetworkopen.2026.2750 PMID: 41870428

A multiagent large language model-based system to simulate the liver transplant selection committee: a retrospective cohort study.

Hasjim BJ, Azarfar G, Lee FG, Diwan TS, Raju S, Gross JA, Sidhu A, Ichii H, Krishnan RG, Mamdani M, Sharma D, Bhat M

The Lancet. Digital health2026

DOI: 10.1016/j.landig.2025.100966 PMID: 41951492

Artificial intelligence, machine learning and omic data integration in osteoarthritis.

Sharma D

Osteoarthritis and cartilage2026First author

DOI: 10.1016/j.joca.2025.10.012 PMID: 41167326

Multiagent Large Language Model Framework for Psychotherapy Fidelity Assessment in Motivational Interviewing and Cognitive Behavioral Therapy Training: Cross-Sectional, Simulation-Based Evaluation Study.

Kamaleddin MA, Mirjalili M, Barzegar R, Trung Le N, Cote Z, Winkler O, Burback L, Zhang Y, Zaiane OR, Monson C, Sharma D, Krishnan S, Greenshaw AJ, Zeifman R, Selby P, Bhat V

JMIR medical education2026

DOI: 10.2196/92964 PMID: 42611045

Enhancing Psychiatry Training Using an Agentic AI Simulated Consultation Tool: Prospective Cohort Study.

Rueda A, Al-Shamali HF, Cote Z, Roy N, Janssen-Aguilar R, Joseph J, Teferra BG, Kamaleddin MA, Burback L, Winkler O, Kapralos B, Torres A, Sharma D, Krishnan S, Dumas G, Greenshaw A, Hudon A, Sockalingam S, Zhang Y, Dubrowski A, Bhat V

JMIR medical education2026

DOI: 10.2196/88580 PMID: 42479623

SYNERGY-VAE: An explainable generative deep learning framework for discovering depression subgroups from multimodal population health data.

Sharma D, Rueda A, Lin Q, Meshkat S, Perivolaris A, Bhat V

PLOS digital health2026First author

DOI: 10.1371/journal.pdig.0001719 PMID: 42784642

Generative artificial intelligence in osteoarthritis: A systematic scoping review of current applications and future directions.

Fairley JL, Kapoor M, Sharma D

Osteoarthritis and cartilage2026Senior author

DOI: 10.1016/j.joca.2026.03.001 PMID: 41825649

A practical framework for operationalising responsible and equitable artificial intelligence in health care: tackling bias, inequity, and implementation challenges

Welch ML, Grant B, Deutschman C, McElcheran C, Badzynski A, Bell JAH, Hope A, Grant RC, Truong T, Lane K

The Lancet: Digital Health202615 citations

DOI: 10.1016/j.landig.2025.100957

Reimagining psychiatric care with agentic AI: promise, challenges, and a roadmap forward

Sharma D, Meshkat S, Perivolaris A, Kamaleddin MA, Teferra BG, Rueda A, Samavi R, Jetly R, Mago V, Wu Y

npj Digital Medicine202614 citationsFirst author

DOI: 10.1038/s41746-026-02453-4

Profile data last refreshed on July 30, 2025 from the university directory, publication records and CIHR, NSERC and SSHRC funding.

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Divya Sharma

Research

Latest papers

Latest funding

Assessing the impact of safety guardrails on large language models using irritability metrics.

Alignment of Large Language Model Responses With Human Therapists in Motivational Interviewing.

A multiagent large language model-based system to simulate the liver transplant selection committee: a retrospective cohort study.

Artificial intelligence, machine learning and omic data integration in osteoarthritis.

Multiagent Large Language Model Framework for Psychotherapy Fidelity Assessment in Motivational Interviewing and Cognitive Behavioral Therapy Training: Cross-Sectional, Simulation-Based Evaluation Study.

Enhancing Psychiatry Training Using an Agentic AI Simulated Consultation Tool: Prospective Cohort Study.

SYNERGY-VAE: An explainable generative deep learning framework for discovering depression subgroups from multimodal population health data.

Generative artificial intelligence in osteoarthritis: A systematic scoping review of current applications and future directions.

A practical framework for operationalising responsible and equitable artificial intelligence in health care: tackling bias, inequity, and implementation challenges

Reimagining psychiatric care with agentic AI: promise, challenges, and a roadmap forward

Frequent collaborators

Wei Xu

Venkat Bhat

Mamatha Bhat

Yanbo Zhang

Candice Monson

Osvaldo Espin Garcia

Wendy Lou

Osvaldo Espin Garcia

Candice Monson

Andrew Greenshaw

Candice Monson

Sareh Keshavarzi

Mohit Kapoor

Nazia Selzner

Elena Elimova

Cynthia Tsien

Jeremy Petch

Patrick Veit-Haibach

Olli Saarela

Rajiv Gandhi

Andrew Nicholson

Derek Jonker

Benjamin Haibe-Kains

Niall Ferguson

Laurent Brochard

Adam Dubrowski

Susan Poutanen

John Kim

Bo Cao

Margaret Herridge

Andrew Hope