T-CAIREM announces 2024 cohort of summer research students

This is the fourth year of the T-CAIREM AI in Medicine Summer Student Research Program. These studentships provide emerging researchers from across Canada with an opportunity to develop their skills by working with leading artificial intelligence (AI) in health experts from the T-CAIREM community.

The program invites applications from undergraduates and students enrolled in professional degree programs such as medicine from partner universities in the T-CAIREM Network. This year's cohort includes trainees from universities such as Western, Queen's, McMaster, and UBC and they come from disciplines ranging from medicine and computer science to statistics and biology.

Get to know the 30 summer students who were awarded research positions with leading T-CAIREM members in 2024!

Student: Amartei Brocke (Ontario Tech University)
Supervisor: Milad Lankarany (University of Toronto) 
Research Project: Comparative study of Graph Neural Network Hidden Layers for Accurate Epileptic Seizure Classification using iEEG signals.

Student: Richard Cheng (Queen's University)
Supervisor: Brodie Nolan (St. Michael's Hospital) 
Research Project: Implementation Considerations for a Machine Learning-based Transfusion Tool to Improve Traumatic Hemorrhagic Shock Outcomes – A Mixed Methods Study 

Student: Rishit Hemang Dagli (University of Toronto)
Supervisor: Houman Khosravani (Sunnybrook Health Sciences Centre)
Research Project: Sonic diagnosis: machine learning assisted swallowing assessment            

Student: Anthony Mario DiMaggio (University of Toronto)
Supervisor: Lena Palaniyappan (McGill University) 
Research Project: Creating synthetic schizophrenic speech using large language models 

Student: Pallavi Dutta (Queen's University)
Supervisor: Kenneth Croitoru (Mount Sinai Hospital)
Research Project: Examining epidemiological factors associated with mucosal inflammation associated with inflammatory bowel diseases

Student: Qianyu Fan (University of Toronto)
Supervisor: Mark Bayley (Toronto Rehabilitation Institute)
Research Project: Development of an Acute Concussion Triage Avatar: Predicting Functional Outcomes through a Supervised Learning Model 

Student: Alice Fours (University of British Columbia)
Supervisor: Azadeh Yadollahi  (KITE-Toronto Rehabilitation Institute)
Research Project: Automatic Monitoring of Opioids-Induced Respiratory Depression in Individuals on Opioids Therapy for Chronic Pain

Student: Isaiah Hazelwood (University of Toronto)
Supervisor: Michael Hoffman (Princess Margaret Cancer Research Centre)
Research Project: Extending the Segway API

Student: Pratham Ramesh Hemlani (University of Toronto)
Supervisor: Melanie Courtot (Ontario Institute for Cancer Research)
Research Project: AI-enhanced data curation to support genomic research in hereditary cancers

Student: Yousef Jan (University of Toronto)
Supervisor: Mohamed Abdalla (Trillium Health Partners – Mississauga)
Research Project: Automated bone mineral density prediction to enable diagnosis of osteoporosis

Student: Sean Jeong (University of Toronto)
Supervisor: Sun-Ho Lee (Mount Sinai Hospital)
Research Project: Metagenome-assembled genome analysis and Antibody epitope repertoire profiling to characterize the preclinical phase of Ulcerative Colitis

Student: Sanjana Nia Jones  (University of Western Ontario)
Supervisor: Laura Sikstrom (CAMH)
Research Project: Predictive Care: An Intersectional Thematic Analysis of Incident Reports of Violence and Aggression in Acute Psychiatry

Student: Raphael Kwok, Laboratory Medicine & Pathobiology (University of Toronto)
Supervisor: Amin Madani (University Health Network)
Research Project: Development of an Artificial Intelligence Virtual Tool for Measuring Distances during Image-Guided Surgery

Student: Hamza  Mahdi (University of Western Ontario)
Supervisor: Lueder Kahrs (University of Toronto - Mississauga)
Research Project: Image Guidance Identification of the Femoral Artery and Surrounding Tissue for AI-guided Needle Insertion

Student: Vikash Nanthakumar (Queen’s University)
Supervisor: Mark Boulos (Sunnybrook Health Sciences Centre)
Research Project: Advancing Clinical Outcomes Using Comprehensive Sleep Health and Polysomnography Data

Student: Chau Minh Nguyen (University of Toronto Mississauga)
Supervisor: Shehroz Khan (KITE, Toronto Rehabilitation Institute)
Research Project: Advancing Diabetic Foot Ulcer Management with AI-assisted Health Record Generator

Student: Dimitrios George Oreopoulos (University of Western Ontario)
Supervisor: Phedias Diamandis (University of Toronto)
Research Project: PHARAOH: A crowdsourcing computational histology platform to integrate artificial intelligence into clinical pathology workflows.

Student: Keiran  Pace (University of Toronto)
Supervisor: Girish Kulkarni (University Health Network)
Research Project: Incorporating longitudinal follow-up information for dynamic prognostication in patients with non-muscle invasive bladder cancer: A multi-institutional study             

Student: Dhruv Patel (Queen's University)
Supervisor: Pascal Tyrrell (University of Toronto)
Research Project: Development of Interactive Courses to Support Education on AI in Medicine

Student: Youxue Ren (University of Toronto)
Supervisor: Andrew Sage (University Health Network)
Research Project: ‘Smart Ventilation’ - Novel real-time biosensors and artificial intelligence for optimized mechanical ventilation in human lungs

Student: Heet Sheth (Royal College of Surgeons in Ireland)
Supervisor: Hans Katzberg (University Health Network - Toronto General Hospital)
Research Project: Application of a Machine Learning Algorithm to Diagnose Myasthenia Gravis Using Oculography Signals

Student: Shrika Vejandla (Queen's University)
Supervisor: Marta Maslej (Krembil Centre for Neuroinformatics)
Research Project: Examining the Value of Cognitive Forcing for Ethical AI Implementation in Acute Psychiatric Care

Student: Ariana Walji (Western University)
Supervisor: Tom Purdie (Princess Margaret Cancer Centre)
Research Project: Artificial Intelligence based Quality Assurance Optimization for Breast Radiation Therapy Peer Review

Student: Fan Ze (Alex) Wang, Biomedical Engineering, (Brown University)
Supervisor: Tina Felfeli (University of Toronto)
Donald K Johnson Eye Institute,  Toronto Western Hospital, University Health Network
Research Project: Machine learning model to predict the progression of retinal diseases from peripheral retinal lesions detected using ultra-widefield imaging

Student: Feifan Xiang (University of Toronto) 
Supervisor: Bryan Ross (Research Institute of the McGill University Health Centre)
Research Project: From ‘Understanding’ to ‘Predicting’ Exacerbations: The COPD Remote Patient Monitoring Pandemic Platform

Student: Cherry Xu (University of Toronto)
Supervisor: Mamatha Bhat (University Health Network - Toronto General Hospital)
Research Project: A Dynamic, Deep Neural Network Model of End-Stage Liver Disease for Equitable Liver Transplant Prioritization: Harmonising MELD and MELD Exception Points

Student: Tammy Zeng (McMaster University)
Supervisor: Jose Zariffa (KITE Research Institute, Toronto Rehabilitation Institute)
Research Project: Hand pose estimation in augmented reality during real object manipulations by individuals with spinal cord injuries

Student: Cece Zhang (University of Toronto)
Supervisor: Kieran Campbell (Mount Sinai Hospital)
Research Project: Characterizing Tertiary Organs Structure in Pancreatic Cancer using Machine Learning approaches

Student: Katarina Zorcic (Queen's University)
Supervisor: Michael Fralick (Lunenfeld-Tanenbaum Research Institute)
Research Project: Trial Files: Keeping Physicians Up to Date on RCTs Using Large Language Models

Student: David Nguyen (Queen's University)
Supervisor: Jesse Chao (Sunnybrook Research Institute)
Research Project: Functional characterization of tumour suppressor variants through single-cell phenotypic profiling

Student: Abishek Nirupan Bhuvanaratnam (University of Toronto)
Supervisor: Rageen Rajendram (Holland Bloorview Kids Rehabilitation Hospital, Toronto)
Research Project: Utilizing AI to Predict Non-Invasive Ventilation Need in Neuromuscular Disorders: A Proof of Concept in Duchenne Muscular Dystrophy