Mar 26, 2024

Meet T-CAIREM's NEW Trainee Affiliates!

New Trainee Affiliates

T-CAIREM is delighted to announce the seven UofT trainee affiliates who will be helping our team with its programming in the coming academic year: David Chen, Vivian Chu, Anglin Dent, Claire FineArmaan Malhotra, Julie Midroni, and Samantha Unger,​​​​.

The seven new trainee affiliates now join our current affiliates Gemma Postill (co-lead), Abhishek Moturu (co-lead), Konrad Samsel, Dr.  Jethro Kwong, and Sujay Nagaraj!

David Chen

Medical student, Temerty Faculty of Medicine
David Chen is interested in research at the intersection of statistics and healthcare: digital medicine. By using modern digital medicine tools including artificial intelligence, David aims to explore and characterize patterns at the molecular, cellular, and population level to inform the design of precise clinical therapies. Alongside academic pursuits, he is passionate about advocating for clinical learners to develop modern competencies in computation and statistics in an increasingly digitized field of medicine. David is incredibly excited to work with the T-CAIREM team to build educational programs and research for artificial intelligence in medicine.

Vivian Chu

PhD student, Department of Medical Biophysics, Temerty Faculty of Medicine
Vivian obtained her Bachelors of Science at the University of Waterloo in Molecular Genetics and Bioinformatics. Vivian’s doctoral research leverages deep learning to enhance the design and functionality of RNA-based therapies, such as RNA interference molecules and neoantigens, and multi-omic integration to guide personalized cancer treatment strategies and understand how different factors impact gene regulation. Beyond research, Vivian is passionate about bioentrepreneurship and building communities.
Twitter: @vivianschu

Anglin Dent

MD/PhD student; Institute of Health Policy, Management, and Evaluation; Temerty Faculty of Medicine
Anglin holds an HBSc from the University of Guelph, an MSc from the University of Toronto, and is now entering her third year of the University of Toronto MD/PhD program. Her previous studies have involved the development and validation of AI tools for precision medicine in cancer care, as well as the examination of how to best integrate healthcare solutions in a way that complements, rather than replaces, current workflows. In her PhD at SickKids, Anglin is excited to conduct clinical validation studies of machine learning technologies for early diagnosis and personalized therapy in childhood asthma.
Google Scholar

Claire Fine

Family Medicine Resident, Department of Family and Community Medicine, Temerty Faculty of Medicine
Claire previously studied Engineering at McMaster University before obtaining her medical degree from McMaster. With work experience in data science and engineering, she's now completing her Family Medicine Residency at the University of Toronto and will start the Sport and Exercise Medicine Fellowship there. Passionate about concussion research, she's worked as a curriculum developer and would love to further innovation in this area. Claire has held roles such as North America Strategy lead at the Clinician Engineer Hub and founded ClinHacks, a global hackathon. Her aim is to revolutionize healthcare using her expertise in innovation, AI, and big data.

Armaan Malhotra

Neurosurgical resident; Division of Neurosurgery; Institute of Health Policy, Management and Evaluation; Temerty Faculty of Medicine
Armaan is a current fourth-year neurosurgical resident interested in pediatric neurosurgery, spinal surgery, and trauma. He is currently taking time away from surgical residency to pursue PhD studies through the Institute for Health Policy, Management and Evaluation, where he is working to better understand neurotrauma outcomes. Armaan has been involved in a team effort to optimize the provincial triage system for brain-injured patients by leveraging Artificial Intelligence-based clinical decision-support methods. He is passionate about understanding the intersection between AI solutions and health systems, with particular emphasis on implementation, bias, and risk.
Twitter: @armaan_km

Google Scholar 

Julie Midroni

MD Student, Temerty Faculty of Medicine
Julie is a second-year medical student who holds a Bachelor of Science in biological physics from the University of Toronto. She has worked on a variety of projects, such as designing machine learning models to predict different health outcomes including dementia and radiation pneumonitis. She is also interested in using machine learning algorithms as mathematical analogues for biological processes, such as cell signalling. She believes that training healthcare professionals with a strong understanding of the strengths and weaknesses of AI is critical for the future of medicine, and hopes to work towards that in her new role at T-CAIREM. 

Samantha Unger

PhD student, Institute of Biomedical Engineering, Faculty of Applied Science and Engineering
Samantha is a PhD student in Biomedical Engineering, developing wearable devices for monitoring cardiovascular health. She holds a Bachelor of Applied Science in Engineering Science from the University of Toronto with a major in Biomedical Engineering and a minor in Artificial Intelligence. She has previously conducted research in synthetic biology, electrical engineering, machine learning, and psychiatry. Samantha is passionate about the intersection between biomedical engineering and artificial intelligence, and how to approach design in an ethical and equitable way. Outside of the lab, Samantha enjoys making pottery and exploring Toronto for new ice cream flavours.