معرفی
Angeliki Makri serves as an Assistant Professor in the Department of Pediatrics within McGill University's Faculty of Medicine and Health Sciences. She holds a Junior Scientist position at the Research Institute of the McGill University Health Centre (IR-MUHC) at the Glen site, where she is affiliated with both the Child Health and Human Development Program and the Center for Evaluative Research in Health (CRES).
Dr. Makri's research program focuses on leveraging machine learning approaches to address critical clinical questions in type 1 diabetes. Her work centers on identifying distinct disease subgroups (endotypes) to enable more accurate diagnosis and developing prediction models for diabetes complications that could facilitate targeted prevention strategies. Her research interests span type 1 diabetes, precision medicine, machine learning applications in healthcare, disease heterogeneity, and endotype identification.
Analysis of her publication record reveals a strong focus on pediatric endocrinology, genetic disorders, and diabetes research. Her work demonstrates expertise in multiple endocrine neoplasia syndromes, Cushing disease, Wolfram syndrome, and the application of genomic and machine learning approaches to understand disease mechanisms. Recent publications show an increasing emphasis on computational approaches to diabetes research while maintaining her clinical focus on endocrine disorders in children.
Dr. Makri collaborates extensively with researchers at the National Institutes of Health, particularly with Dr. Constantine Stratakis and Dr. Maya Lodish, as evidenced by multiple co-authored publications on pediatric endocrine disorders. Her research bridges clinical pediatrics, endocrinology, and computational approaches to advance understanding of complex metabolic diseases in children.
