Stanford University
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Norah Fahim
Advanced Lecturer
Current Research and Scholarly InterestsSPECIALIZATION: Digital Rhetoric, Narrative Inquiry, Writing Program Administration, Teaching English to Speakers of Other Languages, and Second Language Writing
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Muneeb A. Faiq
Basic Life Research Scientist, Ophthalmology Research/Clinical Trials
BioDr. Muneeb A. Faiq is a behavioral and metabolic neuroscientist and ophthalmology researcher whose work spans molecular biology, neuroimaging, and systems neuroscience. He has made several foundational contributions, including the first functional cloning of CYP1B1 in congenital glaucoma, implicating retinoic-acid signaling in Zika virus–associated microcephaly, identifying central insulin resistance as a mechanistic basis for glaucoma, and providing the first in vivo evidence for a glymphatic pathway in the optic nerve. With more than 100 peer-reviewed publications and over 4,000 citations, Dr. Faiq has earned international recognition, including the Emerging Vision Scientist Award – 2019 from the Alliance for Eye and Vision Research. He is widely regarded as the pioneer and principal architect of the discipline of psychosomatic ophthalmology, a field he helped conceptualize and establish, leading to the integration of ophthalmic clinical practice with mindfulness-based and psychosomatic medicine frameworks. Dr. Faiq is currently advancing the concept of neurometabolic syntax in vision and brain function — a unifying systems-level framework that integrates genetics, metabolism, and behavior to reconceptualize ophthalmic and neurological diseases through a mechanistic and interdisciplinary lens. He has been selected for the prestigious Asia Pacific Academy of Ophthalmology (APAO) Achievement Award 2026.
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Robert Michael Fairchild
Assistant Professor of Medicine (Immunology and Rheumatology)
Current Research and Scholarly InterestsDr. Fairchild’s research focuses on musculoskeletal and organ-based ultrasound in rheumatic disease, including arthritis, calcinosis, vascular pathology, and interstitial lung disease. He develops ultrasound-based outcome measures and leads projects applying deep learning and explainable AI to imaging. He also performs ultrasound-guided synovial biopsies to support translational and clinical research.
