This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Queen's University directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Multilevel predictors of ultra-processed food intake in Canadian preschoolers
Communications Medicine · 2026
Correction: Reimbursement restrictions reduce liver fibrosis screening in adults with diabetes in Ontario: a population-based interrupted time series analysis.
Scientific reports · 2026
Early-life greenness and childhood asthma and allergic rhinitis: an Ontario birth cohort study.
The European respiratory journal · 2026
Latest funding
- $142,000
Leveraging Interpretable Machine Learning Approaches to Improve the Health of Children with Multimorbidity.
CIHR · 2024 · Nominated PI
- $100,000
Environmental Co-Exposure Profiles in Early Childhood: a Longitudinal, Machine-Learning Approach to Health Inequalities
CIHR · 2024 · Nominated PI
- $956,250
Circadian rhythm control of chronic pain and neuroinflammation: a bedside-to-bench study
CIHR · 2023 · Co-investigator
27 publications.
Multilevel predictors of ultra-processed food intake in Canadian preschoolers
Mousavi S, Chen ZH, Lu Z, Santos S, L’Abbe MR, Azad MB, Mandhane PJ, Moraes TJ, Subbarao P, Turvey SE
Correction: Reimbursement restrictions reduce liver fibrosis screening in adults with diabetes in Ontario: a population-based interrupted time series analysis.
Burnside J, Djerboua M, Flemming JA, Sebastiani G, Wong WWL, Lu Z, Bajaj HS, Patel K, Biondi M, Betel M, Nahwegahbow A, Greenwald ZR, Moodie EEM, Saeed S
Early-life greenness and childhood asthma and allergic rhinitis: an Ontario birth cohort study.
Ge E, Yu C, Lavigne E, Villeneuve PJ, Liu X, Grubic N, Lou W, Brook J, Lu Z, Li YL, To T
Reimbursement restrictions reduce liver fibrosis screening in adults with diabetes in Ontario: a population-based interrupted time series analysis.
Burnside J, Djerboua M, Flemming JA, Sebastiani G, Wong WWL, Lu Z, Bajaj HS, Patel K, Biondi M, Betel M, Nahwegahbow A, Greenwald ZR, Moodie EEM, Saeed S
A fast integrative clustering and feature selection approach for high-dimensional multiview data.
Alnajjar A, Bian H, Lu Z
Identification, validation, and prediction of longitudinal recovery phenotypes in degenerative cervical myelopathy: analysis of prospective cohorts and a randomised controlled trial.
Pedro KM, Alvi MA, Lozano C, Karthikeyan V, Bak AB, Davies BM, Harrop JS, Badhiwala JH, Wilson JR, Lou W, Lu Z, Thorpe KE, Fehlings MG
Determining the interplay of prenatal parental BMI in shaping child BMI trajectories: the CHILD Cohort Study
Rossi A, Chen ZH, Ahmadiankalati M, Campisi SC, Reyna ME, Dempsey K, Jenkins D, O’Connor D, El-Sohemy A, Mandhane PJ
Early-preschool wheeze trajectories are predominantly nonallergic with distinct biologic and microbiome traits
Lu Z, Petersen C, Dai R, Reyna ME, Ahmadiankalati M, Sifuentes E, Dai DLY, Hoskinson C, Del Bel KL, Miliku K
Differential impact of the COVID-19 pandemic on chlamydia and gonorrhoea cases among youth and young adults in Canada: an interrupted time series analysis.
Khandakar F, Austin N, Lu Z, Saeed S
Circadian rhythmicity and biopsychosocial characteristics influence opioid use in chronic low back pain.
Taccardi D, Zacharias AM, Gowdy HG, Knezic M, Parisien M, Bisson EJ, Fang ZY, Stickley SA, Brown E, Camiré D, Wilson R, Singer LN, Daly-Cyr J, Choinière M, Lu Z, Pagé MG, Diatchenko L, Duan Q, Ghasemlou N
Leveraging Interpretable Machine Learning Approaches to Improve the Health of Children with Multimorbidity.
Principal investigators: Lu, Zihang; Miliku, Kozeta
Keywords: Birth Cohorts; Child Multimorbidity; Developmental And Social Factors; Exposome And Environmental Determinants; Human Development, Child And Youth Health; Longitudinal Development; Population And Health; Statistical And Machine Learning
Environmental Co-Exposure Profiles in Early Childhood: a Longitudinal, Machine-Learning Approach to Health Inequalities
Principal investigators: Lu, Zihang
Keywords: Canadian Urban Environmental Health Research Consortium; Causal Inference; Child Cohort; Exposure Profiles In Early Childhood; Health Inequality; High Dimensional Longitudinal Data; High-Dimensional Latent Class Analysis; Longitudinal Patterns Of Environmental Exposures; Machine Learning And Data Science; Neighborhood And Social Environment
Circadian rhythm control of chronic pain and neuroinflammation: a bedside-to-bench study
Principal investigators: Ghasemlou, Nader; Page, Gabrielle
Keywords: Animal Models; Bioinformatics; Biopsychosocial Assessment; Chronic Pain; Ecological Momentary Assessment; Neuroinflammation; Transcriptomics; Translational Research
CircaHealth iCT: Targeting circadian rhythmicity using light therapy to alleviate chronic pain
Principal investigators: Ghasemlou, Nader; Di Renna, Tania; Duggan, Scott S; Bosma, Rachael L; Choinière, Manon; Daly-Cyr, Jennifer; El-Gabalawy, Renée; Lu, Zihang; Page, Gabrielle; Poulin, Patricia A; Singer, Lesley N
Keywords: Bioinformatics; Biomarkers; Biopsychosocial Approaches; Chronic Pain; Circadian Rhythms; Cytokines; Ecological Momentary Assessment; Immune Cells; Light Therapy; Randomized Controlled Trial
CircaHealth-CircaPain iCT: Targeting circadian rhythmicity using bright light therapy to alleviate chronic low back pain
Principal investigators: Ghasemlou, Nader; Buckley, David N; Clarke, Hance A; CUPIDO, TRACY L; Di Renna, Tania; Duggan, Scott S; Martel, Marc Olivier; Poulin, Patricia A; Daly-Cyr, Jennifer; Page, Gabrielle
Keywords: Bioinformatics; Biomakers; Biopsychosocial Approach; Bright Light; Chronic Pain; Circadian Rhythms; Ecological Momentary Assessment; Immune Cells; Light Therapy; Randomized Controlled Trial
Liver Fibrosis: Leveraging Novel Statistical Methods to Determine Optimal Screening Strategy for People Living with Type 2 Diabetes
Principal investigators: Saeed, Sahar Z; Flemming, Jennifer A
Keywords: Adminstrative Data (Ices); Cirrhosis; Liver Disease; Maslf/Nafld; Metabolic Disease; Multistate Models; Screening; Type 2 Diabetes
Modeling Longitudinal Data with Complex Structures
Principal investigators: Lu, Zihang
Keywords: biostatistical methods; bayesian methods; clustering; data integration; dynamic prediction; joint modeling; mixture and latent variable modeling; multi-dimensional longitudinal data; multi-view data; variable selection
Modeling Longitudinal Data with Complex Structures
Principal investigators: Lu, Zihang
Early Determinants of Lung Function and Asthma
Principal investigators: Duan, Qingling
Keywords: Asthma Risk; Case-Controls; Epigenomics; Family-Trios; Gene-Environment Interactions; Genomics; Lung Health
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Padmaja Subbarao and Malcolm Sears: 196 shared papers
- Padmaja Subbarao and Kozeta Miliku: 46 shared papers
- Padmaja Subbarao and Wendy Lou: 20 shared papers
- Giada Sebastiani and Sahar Saeed: 18 shared papers
- Padmaja Subbarao and Felix Ratjen: 17 shared papers
- Malcolm Sears and Kozeta Miliku: 13 shared papers
- Padmaja Subbarao and Qingling Duan: 12 shared papers
- Malcolm Sears and Wendy Lou: 12 shared papers
- Zihang Lu and Wendy Lou: 10 shared papers
- Leah Gramlich and Wendy Lou: 8 shared papers
- David Armstrong and Leah Gramlich: 7 shared papers
- Padmaja Subbarao and Indra Narang: 7 shared papers
- Padmaja Subbarao and Zihang Lu: 6 shared papers
- Malcolm Sears and Qingling Duan: 6 shared papers
- Kozeta Miliku and Qingling Duan: 6 shared papers
- Nader Ghasemlou and Doriana Taccardi: 6 shared papers
- Padmaja Subbarao and Teresa To: 5 shared papers
- Luda Diatchenko and Nader Ghasemlou: 5 shared papers
- Nader Ghasemlou and Qingling Duan: 5 shared papers
- Felix Ratjen and Wendy Lou: 5 shared papers
- David Armstrong and Wendy Lou: 3 shared papers
- Malcolm Sears and Felix Ratjen: 3 shared papers
- Malcolm Sears and Indra Narang: 3 shared papers
- Kozeta Miliku and Zihang Lu: 3 shared papers
- Teresa To and Wendy Lou: 3 shared papers
- Sahar Saeed and Zihang Lu: 3 shared papers
- Padmaja Subbarao and Jeffrey Brook: 2 shared papers
- Malcolm Sears and Teresa To: 2 shared papers
- Malcolm Sears and Zihang Lu: 2 shared papers
- Teresa To and Zihang Lu: 2 shared papers
- Nader Ghasemlou and Zihang Lu: 2 shared papers
- Giada Sebastiani and Zihang Lu: 2 shared papers
- Giada Sebastiani and Mia Biondi: 2 shared papers
- Indra Narang and Wendy Lou: 2 shared papers
- Qingling Duan and Zihang Lu: 2 shared papers
- Qingling Duan and Doriana Taccardi: 2 shared papers
- Sahar Saeed and Mia Biondi: 2 shared papers
- Zihang Lu and Mia Biondi: 2 shared papers
- Zihang Lu and Doriana Taccardi: 2 shared papers
- David Armstrong and Zihang Lu: 1 shared paper
- Padmaja Subbarao and Deborah O'Connor: 1 shared paper
- Padmaja Subbarao and Ahmed El-Sohemy: 1 shared paper
- Malcolm Sears and Jeffrey Brook: 1 shared paper
- Kozeta Miliku and Deborah O'Connor: 1 shared paper
- Kozeta Miliku and Ahmed El-Sohemy: 1 shared paper
- Teresa To and Jeffrey Brook: 1 shared paper
- Teresa To and Erjia Ge: 1 shared paper
- Deborah O'Connor and Zihang Lu: 1 shared paper
- Deborah O'Connor and Ahmed El-Sohemy: 1 shared paper
- Luda Diatchenko and Qingling Duan: 1 shared paper
- Luda Diatchenko and Zihang Lu: 1 shared paper
- Jeffrey Brook and Erjia Ge: 1 shared paper
- Jeffrey Brook and Zihang Lu: 1 shared paper
- Mohammad Auais and Zihang Lu: 1 shared paper
- Felix Ratjen and Zihang Lu: 1 shared paper
- Leah Gramlich and Zihang Lu: 1 shared paper
- Margaret Herridge and Zihang Lu: 1 shared paper
- Erjia Ge and Zihang Lu: 1 shared paper
- Indra Narang and Zihang Lu: 1 shared paper
- Sahar Saeed and Nichole Austin: 1 shared paper
- Benjamin Hibbert and Zihang Lu: 1 shared paper
- Zihang Lu and Nichole Austin: 1 shared paper
- Zihang Lu and Ahmed El-Sohemy: 1 shared paper
- Medicine
- Public Health Sciences
- Biomedical and Molecular Sciences
- Department of Nutritional Sciences
- Biostatistics Division
- School of Nursing
- Pediatrics
- Other
Co-authors at Queen's University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Wendy Lou
Biostatistics Division
10 shared papers, latest 2026
Padmaja Subbarao
Medicine
6 shared papers, latest 2026
Sahar Saeed
Public Health Sciences
3 shared papers, latest 2026
Kozeta Miliku
Medicine
3 shared papers, latest 2026
Mia Biondi
School of Nursing
2 shared papers, latest 2026
Doriana Taccardi
Faculty
2 shared papers, latest 2025
Qingling Duan
Biomedical and Molecular Sciences
2 shared papers, latest 2025
Teresa To
Pediatrics
2 shared papers, latest 2026
Giada Sebastiani
Medicine
2 shared papers, latest 2026
Nader Ghasemlou
Biomedical and Molecular Sciences
2 shared papers, latest 2025
Malcolm Sears
Medicine
2 shared papers, latest 2022
Zihang Lu
Translational Medicine
1 shared papers, latest 2021
Ahmed El-Sohemy
Department of Nutritional Sciences
1 shared papers, latest 2025
Nichole Austin
Health Administration
1 shared papers, latest 2025
Éric Lavigne
School of Epidemiology and Public Health
1 shared papers, latest 2026
Sanjay Murthy
Department of Medicine
1 shared papers, latest 2021
Margaret Herridge
Critical Care Medicine
1 shared papers, latest 2024
Rosemary Wilson
Nursing
1 shared papers, latest 2025
Erjia Ge
Epidemiology
1 shared papers, latest 2026
Indra Narang
Translational Medicine
1 shared papers, latest 2024
Rebecca Mathew
Faculty
1 shared papers, latest 2025
David Armstrong
Medicine
1 shared papers, latest 2021
Benjamin Hibbert
Department of Medicine
1 shared papers, latest 2025
Deborah O'Connor
Department of Nutritional Sciences
1 shared papers, latest 2025
Sherri Katz
Pediatrics
1 shared papers, latest 2024
Luda Diatchenko
Faculty
1 shared papers, latest 2025
Jeffrey Brook
Occupational and Environmental Health
1 shared papers, latest 2026
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