May Choi, MD MPH FRCPC
University of Calgary, Calgary, Alberta BHSc 06/2010 Biomedical Sciences (Honors)University of Alberta, Edmonton, Alberta MD 06/2014 Medicine
University of Calgary, Calgary, Alberta Resident 06/2017 Core Internal Medicine Program
University of Calgary, Calgary, Alberta Fellow 06/2019 Rheumatology
Brigham and Women’s Hospital, Boston, MA Fellow 12/2021 Lupus
Harvard School of Public Health, Boston, MA MPH 05/2021 Epidemiology
Current Position:
Associate Professor
Department of Medicine, Division of Rheumatology
Cumming School of Medicine
University of Calgary, Calgary, AB, Canada
Areas of Research
Dr. May Choi is a rheumatologist and clinician scientist who started on faculty at the Cumming School of Medicine, University of Calgary in 2020, and is a Member of the McCaig Institute for Bone and Joint Health. As an early career investigator, her research is focused on biomarker discovery and validation for prediction of clinical outcomes in autoimmune rheumatic diseases, and the prevention of autoimmune disease development and disease-related complications. She leads a research laboratory and biobank for local, national, and international collaborators.
Dr. Choi has partnered with MIT and the University of Alberta on several projects interpreting large biomarker data using machine learning techniques to improve our understanding of disease pathogenesis for systemic lupus and autoimmune myositis.
Her background and training include a Masters of Public Health in Epidemiology at Harvard University and a lupus fellowship at the Brigham and Women’s Hospital (Boston, MA) under the supervision of Dr. Karen Costenbader (epidemiologist, lupus expert and Professor of Medicine at Harvard Medical School). She has been invovled in several studies using data from the Nurses' Health Study to examine risk factors for the development of systemic lupus erythematosus including lifestyle behaniors.
Supervising degrees
Working with this supervisor
- Strong writing skills
- Basic statistics required
- Experience in the lab is not required, but is helpful
- Experience in machine learning is not required, but is helpful
- Strong academic record particularly in science courses
- Experience in conducting research
Contact this supervisor
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