Julian Borges
Physician-Scientist (Endocrinology and Precision Medicine) | Author of the “EGLS Governance Standard” | AI Governance & Adaptive Systems Research | Harvard GCSRT | Boston University MSHI
- Role
- Clinical Reviewer at Nature Portfolio
- Location
- Boston, MA, US
- LinkedIn followers
- 500 followers
About Julian Borges
I am a pshysican scientist working at the intersection of clinical medicine, artificial intelligence, precision medicine and genomic science, with a focus on how data driven systems and other technologies can be safely translated into real world clinical decision making.My work centers on clinical AI governance, auditability, and deployment evaluation, rather than isolated model development. I study how AI systems behave when exposed to real patient populations, heterogeneous data, and operational constraints, and I develop conceptual and methodological frameworks that support transparency, reproducibility, and defensibility in regulated healthcare environments.I have more than 20 years of experience in medicine and translational research, with formal training in health informatics and genetic epidemiology. My academic research examines algorithmic bias, shortcut learning, and causal confounding in clinical and genomic AI models, with an emphasis on fairness, performance heterogeneity, and decision safety. This work has undergone multiple rounds of peer review and has been published in high impact venues, including JAMIA Open.In parallel with my academic work, I have contributed to initiatives at the intersection of clinical knowledge, data governance, and artificial intelligence that inform precision medicine, metabolic health, and aging related research. Across academic and applied research contexts, my contributions emphasize reproducibility, interoperability, and governance by design, supporting the transition of AI systems from experimental settings to institutionally robust deployment models.My work is inherently cross disciplinary, bridging technical teams, clinicians, executives, and governance stakeholders through research, education, and scholarly collaboration. I focus on ensuring that AI adoption is scientifically sound, ethically grounded, and operationally accountable.I am interested in senior research leadership, academic, and future executive roles at the intersection of clinical AI, governance, genomics, and digital health.
Experience
Clinical Reviewer
Oct 2025 — Present · Boston, MA, US
Serve as an invited peer reviewer for Nature Reviews, evaluating manuscripts at the interface of clinical medicine, translational research, and digital health innovation. Responsibilities include: • Critically assessing the scientific validity, methodological rigor, and translational impact of submitted review and research articles. • Providing constructive, confidential feedback to authors and editors to improve clarity, accuracy, and scientific integrity. • Ensuring that recommendations align with ICMJE, COPE, and Nature editorial standards for transparency, reproducibility, and ethical conduct. • Reviewing content spanning endocrinology, precision medicine, digital therapeutics, and AI-driven clinical decision tools, reflecting interdisciplinary expertise. • Contributing to the advancement of evidence-based science and maintaining the high editorial standards of the Nature Reviews family of journals.Skills: Peer Review • Clinical Research • Scientific Writing • Translational Medicine • Editorial Evaluation • Research Integrity
Education
Faculdade de Ciências Médicas da Santa Casa de São Paulo
Clinical Nutrition.- Post Graduate Program, Clinical Nutrition
Boston University Metropolitan College
Computer Science - MS in Health Informatics (MSHI) with Concentration in Applied Data Analytics, Computer Science
Teresópolis School of Medicine - Medical Doctor (M.D.)
Doctor of Medicine - MD, Medicine
1996 — 2002
Afya
Endocrinology, Diabetes and Metabolism - Post Graduate Program (PGY1), Endocrinology, Diabetes and Metabolism
Faculdade Paulista de Ciências da Saúde - FPCS
Post Graduate Program - Medical Biochemistry, Biochemistry and Molecular Biology
Harvard Medical School
Clinical Research - Global Clinical Scholars Research Training (GCSRT) - Conc. Genetic Epidemiology, Clinical Research and Genetic Epidemiology
Estácio
Post Graduate Program, Exercise and Sports Medicine
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