Project: Multi-omics approaches to classifier problems in inflammatory bowel disease
Kyra Fine, MSc
Doctor of Philosophy Student, Queen’s University
Project: Improving quantitative disease activity evaluation in IBD through computational molecular biology techniques
Jocelyn Emmerson
Summer Student, Undergraduate Medical Student, Queen's University
Project: Improving quantitative disease activity evaluation in IBD through computational molecular biology techniques
Abinaya Ravindran
Summer Student, Undergraduate Life Science Student, Queen's University
Project: Improving quantitative disease activity evaluation in IBD through computational molecular biology techniques
Joshua Lu
Undergraduate Volunteer, Queen's University
Previous Members
Monica Opoka
Master of Bioinformatics Student, School of Computing, Queen’s University
Project: Advanced modelling for scoring inflammatory bowel disease activity from routine bloodwork samples
Laavanya Joshi
Master of Bioinformatics Student, School of Computing, Queen’s University
Project: High dimensional proteomics uncovers the immune patterns of autoinflammatory disease
Ally Shi
Master of Bioinformatics Student, School of Computing, Queen’s University
Project: Automating inflammation assessment of histology and endoscopy images using machine learning
Eileen O’Brien
Master of Science Student, Department of Biomedical and Molecular Sciences, Queen’s University
Project: Cytokine multi-omics and machine learning identify mip1alpha as a novel mediator in inflammatory bowel disease
Eleanor Lehman, BSc
Master of Bioinformatics Student, School of Computing, Queen’s University
Project title: Advanced modeling for scoring inflammatory bowel disease activity from routine bloodwork samples (Local Cohort)
Julia Britton, BSc
Master of Bioinformatics Student, School of Computing, Queen’s University
Project title: Advanced modeling for scoring inflammatory bowel disease activity from routine bloodwork samples (CIDsCaNN Cohort)
Yuyang Liang, BSc
Master of Bioinformatics Student, School of Computing, Queen’s University
Scoring inflammation severity in inflammatory bowel disease biopsies images using machine learning
Aleena Amjad Hafeez, MD
Pediatrics Resident Research Student, Queen’s University
Improving pediatric urgent care flow
Lakshmi Subramanian, MD, PGY4
Pediatrics Resident Research Student, Queen’s University
Project: Immune-mediated Gastrointestinal Diseases are Associated with Increased Risk of Eating Disorders in Children: An Ontario Health Administrative Database Study
Peyton Briand
Master of Biomedical Informatics Student, Biomedical Informatics, School of Computing, Queen’s University
Project: Routinely collected bloodwork reveals immune cell patterns reflecting disease activity in patients with inflammatory bowel disease
Mehak Kangura
Undergraduate Research Student, Queen’s University
Project: White blood cell subset patterns and their role in predicting IBD disease activity: A computational approach
Chinmay Potdar, BSc(H)
Master of Science Student, Queen’s University
Cytokine profiles from peripheral blood differentiate inflammatory bowel disease and irritable bowel syndrome, demonstrating new mechanisms of disease
Carly van Wylick
Undergraduate Research Student, Queen’s University
Project (initially a volunteer project in 2021/2022 then a fourth year research project in 2022/2023): Explainable artificial intelligence identifies unique clinical features of inflammatory bowel disease exacerbations
Summer Research Assistant, Queen’s University
Project: Explainable artificial intelligence identifies unique clinical features of inflammatory bowel disease exacerbations
Lauren Lewis
Undergraduate Research Student, Queen’s University
Project: The connection between “pediatric acute hepatitis of unknown origin” and regional incidence of COVID-19
Summer Research Assistant, Queen’s University
Project: Explainable artificial intelligence identifies unique clinical and epidemiologic features of COVID-19-related liver disease
Reynelle Richards-James
Undergraduate Research Student, Queen’s University
Project: Explainable artificial intelligence identifies unique clinical features of inflammatory bowel disease exacerbations
Matthew Greenblatt, MD
Gastroenterology Fellow, Queen’s University
Estimating the local incidence, prevalence, and outcomes of primary sclerosing cholangitis patients in Kingston, Ontario
