Julian Borges MD

Verified @gmail.com

Endocrinology Specialist, Professor of Medicine and Medical Scientist
Clinician Scientist

Julian Borges MD
Highly accomplished endocrinologist and clinical researcher with deep expertise in cardio-endocrinology, digital health applications, and precision medicine. As an academic scholar, I have contributed extensively to advancing knowledge through research, with multiple publications including systematic reviews and meta-analyses that bridge molecular genetics and clinical practice. A dedicated educator and mentor, I serve as a professor of medicine and Editor-in-Chief of the International Journal of Epidemiology and Public Health Research, guiding peer review and editorial processes for leading scientific journals. Currently, I am expanding my contributions to science through the Harvard Medical School Global Clinical Scholars Research Training (GCSRT) 2025 cohort program, with a focus on further advancing translational science and precision medicine.

EDUCATION

2024-2025 Clinical Research - (IPPCR) Principles and Practice of Clinical Research – NIH
2024 Conducting Systematic Reviews - Interactive Learning Program by Cochrane (og)
2024 Machine Learning and AI with Python, Computer Science, Harvard X (ongoing)
2024 Python for Research - Data Science Program, Harvard X
2024 Statistics and R, Machine Learning with R - Data Science Program, Harvard X
2015-2016 Genetics - Master of Science MS - Pontifical Catholic University, PUC-GO
2011-2013 Endocrinology and Metabolism py1- National Institute of Medical Research
2012-2012 Clinical Nutrition – Holy House of Mercy de São Paulo - ABRAN
2009-2010 Clinical MCQ Course - Victorian Medical Postgraduate Foundation, Australia
2006-2008 Medical Biochemistry - Faculty of Health Sciences of São Paulo - FACIS
2003-2003 Exercise and Sports Medicine, Estácio de Sá University, Rio de Janeiro
1996-2002 Medicine (MD), Teresópolis School of Medicine, Rio de Janeiro - FMT

RESEARCH, TEACHING, or OTHER INTERESTS

Endocrinology, Genetics, Molecular Medicine, Artificial Intelligence