Faculty profile

Daniel Felsky

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Associate ProfessorDepartment of PsychiatryUniversity of Toronto

Daniel Felsky

Associate Professor

Department of Psychiatry

Temerty Faculty of Medicine

University of Toronto

Toronto, Ontario, Canada

ORCID

Supervision signals

Professors usually supervise graduate students in their department's programs.
64 publications in the last five years, latest in 2026.
Senior (last) author on 13 recent papers, a sign of leading a research group.
Principal investigator on 1 research grant (1 CIHR), most recently in 2023.
Supervised 1 trainee who won CIHR awards, most recently in 2021.

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

145

Citations

h-index

Collaborators

Grants

Publications by year

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

Profiles and links

University Profile Search on Google Scholar iDORCID

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Signals and details

Research

Read how they describe their research on their University of Toronto profile.

Blood Biomarkers Neuroimmune Mechanisms Psychosis Spectrum Symptoms Strutural Brain Imaging Youth Mental Health

Latest papers

Predictors of vaping relapse among young e-cigarette users: Machine learning-based survival analysis of a smartphone app-derived longitudinal data.
Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
Copy number variant scores are associated with cerebrovascular pathology in aging.
Molecular psychiatry · 2026 · senior author
Cell-type- and state-resolved transcriptomics uncovers distinct T cell and monocyte dysregulation in multiple sclerosis.
Cell reports · 2026

All 94 publications

Latest funding

Creating a comprehensive brain model of body image in health and disease
CIHR · 2025 · Co-investigator
$935,596
Laying the foundation for an IYS Learning Health System: Building a youth and equity focused federated IYS data platform
CIHR · 2024 · Co-investigator
$9,471,694
Trajectories of brain development indicators in mental-health treatment-seeking youth: a neuroimaging-based normative modelling approach
CIHR · 2024 · Co-investigator
$100,000

All 12 grants and awards

94 publications.

Predictors of vaping relapse among young e-cigarette users: Machine learning-based survival analysis of a smartphone app-derived longitudinal data.

Kundu A, Selby P, Felsky D, Moraes TJ, Chaiton M

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2026

DOI: 10.1093/ntr/ntag137 PMID: 42400557

Copy number variant scores are associated with cerebrovascular pathology in aging.

Du JN, Tio ES, Bennett DA, Schneider JA, Sevim Bayrak C, Alexander-Bloch A, Zhang B, Felsky D

Molecular psychiatry2026Senior author

DOI: 10.1038/s41380-026-03725-x PMID: 42399414

Cell-type- and state-resolved transcriptomics uncovers distinct T cell and monocyte dysregulation in multiple sclerosis.

Roostaei T, Fujita M, Touil H, Kivisäkk P, McCabe C, Nejad P, Sabrin A, Garcia FG, van Dorp CH, Felsky D, Vlachos IS, Hui D, Fransson J, Macnair W, Williams A, Zhang L, Zhu W, Xia Z, Zujovic V, Patsopoulos NA, Yates AJ, Kuchroo VK, Chitnis T, Weiner HL, Klein HU, De Jager PL

Cell reports2026

DOI: 10.1016/j.celrep.2026.117417 PMID: 42247289

Cortical GABAergic Neuron Dysregulation in Schizophrenia Is Age Dependent.

Kiss D, Zhou X, Endresz N, Arbabi K, Segura AG, Felsky D, Diaconescu AO, Sibille E, Tripathy SJ

Biological psychiatry global open science2026

DOI: 10.1016/j.bpsgos.2025.100606 PMID: 41159096

The effects of repetitive transcranial magnetic stimulation on sleep in individuals with substance use disorders: A systematic review.

Mouzenian A, Felsky D, Ahmed T, Sloan ME, Mehta DD, Lim A, Bhat V, Pereira CF, Kloiber S, Tang VM

Journal of psychiatric research2026

DOI: 10.1016/j.jpsychires.2026.06.041 PMID: 42372632

An evaluation of the clinician-facing research dashboards from the Toronto Adolescent and Youth (TAY) Cohort Study in mental health care.

Kuburi S, Foussias G, Davies J, Segovia AN, Wong J, Ameis S, Kozloff N, Quilty LC, Dickie E, Felsky D, Goldstein BI, Hawke LD, Polillo A, Nikolova YS, Wang W, TAY Cohort Study Team, Voineskos A, Cleverley K

PLOS mental health2026

DOI: 10.1371/journal.pmen.0000605 PMID: 42102136

A Novel Polygenic Risk Score Indexing Somatostatin-Expressing Inhibitory Neurons Predicts Somatostatin-Expressing Cell Proportions and Severity of Symptoms in Late-Life Depression.

Dos Santos FC, Zhou X, Clifford KP, Segura AG, Syeda AS, Felsky D, Lenze EJ, Mulsant BH, Tripathy S, Sibille E, Nikolova YS

Biological psychiatry global open science2026

DOI: 10.1016/j.bpsgos.2025.100685 PMID: 41783159

Developing a Machine Learning Model for Personalized, Predictor-Centric, Adaptive Intervention for Vaping Cessation in Young People: Secondary Data Analysis of Smartphone App Data.

Kundu A, Selby P, Felsky D, Moraes TJ, Planinac L, Chaiton M

International journal of environmental research and public health2026

DOI: 10.3390/ijerph23040527 PMID: 42074466

Predictors of past 30-day vaping abstinence among young e-cigarette users: Machine learning analysis of a longitudinal cohort.

Kundu A, Selby P, Felsky D, Moraes TJ, Chaiton M

Addictive behaviors2026

DOI: 10.1016/j.addbeh.2026.108617 PMID: 41548499

Polygenic Associations Between Motor Behavior, Neuromotor Traits, and Active Music Engagement in Four Cohorts.

Henechowicz TL, Coleman PL, Gustavson DE, Mekki YN, Nayak S, Nitin R, Scartozzi AC, Tio ES, van Klei RTN, Felsky D, Thaut MH, Gordon RL

Annals of the New York Academy of Sciences2026

DOI: 10.1111/nyas.70191 PMID: 41707076

Write to this professor

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Paper to mentionMention their CIHR grant from 2023

Subject: Prospective PhD student: Blood Biomarkers Dear Professor Felsky, 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 "Predictors of vaping relapse among young e-cigarette users: Machine learning-based survival analysis of a smartphone app-derived longitudinal data." (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 "Discovery and neuroimaging-based characterization of peripheral blood biomarkers for psychosis spectrum symptom trajectories in mental health treatment-seeking youth" (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]

Profile data last refreshed on September 25, 2026 from the university directory, publication records and CIHR, NSERC and SSHRC funding.

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Daniel Felsky

Research

Latest papers

Latest funding

Predictors of vaping relapse among young e-cigarette users: Machine learning-based survival analysis of a smartphone app-derived longitudinal data.

Copy number variant scores are associated with cerebrovascular pathology in aging.

Cell-type- and state-resolved transcriptomics uncovers distinct T cell and monocyte dysregulation in multiple sclerosis.

Cortical GABAergic Neuron Dysregulation in Schizophrenia Is Age Dependent.

The effects of repetitive transcranial magnetic stimulation on sleep in individuals with substance use disorders: A systematic review.

An evaluation of the clinician-facing research dashboards from the Toronto Adolescent and Youth (TAY) Cohort Study in mental health care.

A Novel Polygenic Risk Score Indexing Somatostatin-Expressing Inhibitory Neurons Predicts Somatostatin-Expressing Cell Proportions and Severity of Symptoms in Late-Life Depression.

Developing a Machine Learning Model for Personalized, Predictor-Centric, Adaptive Intervention for Vaping Cessation in Young People: Secondary Data Analysis of Smartphone App Data.

Predictors of past 30-day vaping abstinence among young e-cigarette users: Machine learning analysis of a longitudinal cohort.

Polygenic Associations Between Motor Behavior, Neuromotor Traits, and Active Music Engagement in Four Cohorts.

Frequent collaborators

Michael Wainberg

George Foussias

Wei Wang

Nicole Kozloff

Peter Szatmari

Etienne Sibille

Peter Zhukovsky

Peter Selby

Alexia Polillo

Kristin Cleverley

Michael Chaiton

Samantha Wells

Erica Vieira

Martin Rotenberg

Samantha Wells

Shreejoy Tripathy

Wanda Tempelaar

Peter Szatmari

Shannon Lange

Gary Remington

Tara Elton-Marshall

Stephanie Ameis

Aristotle Voineskos

Philip Gerretsen

Meng-Chuan Lai

Daphne Voineskos

Yona Lunsky

Sean Hill

Hsiang-Yuan Lin

Osnat Melamed

Yuliya Nikolova

Tristan Glatard

Sanjeev Kumar