Ramie Fathy, MD· Mass General BrighamBoston
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Biography

A clinician,
a writer, a builder.

Training, service,
and the three domains
the work sits across.

I am a dermatologist and rheumatology–dermatology fellow at Mass General Brigham, with clinical interests in inflammatory and complex medical dermatology, dermatopathology, and clinical AI evaluation.

My work spans inflammatory dermatoses, cutaneous oncology, teledermatology, and clinical AI. I build decision-support tools, study technology in clinical settings, and write for trainees, clinicians, and patients.

Outside the clinic I mentor medical students, work on audio storytelling projects, and explore Boston.

Get in touch →Browse the apps →
Section A

Clinical Training

Active and incoming positions, in reverse chronological.

2026—Mass General BrighamRheumatology-Dermatology Fellow, PGY-5Active
2022—2026Johns Hopkins UniversityDermatology Resident PhysicianCompleted
2017—2021Perelman School of MedicineMD, Alpha Omega AlphaConferred
2013—2017Princeton UniversityAB Molecular Biology · Summa Cum Laude · Phi Beta KappaConferred
Section B

Leadership & Service

Elected and appointed roles spanning institutional and national bodies.

2025—2027AAD Council on Science & ResearchElected memberElected
2024—2026Johns Hopkins House Staff CouncilVice President, Resident AffairsCompleted
2020—2021POHPS · Penn MedicineFounder & Director · COVID-19 responseFounder
2017Penn Medicine, Class of 2017Curriculum RepresentativeService
Domains

Three overlapping domains.

The interesting projects sit in the intersections: RAMIE in clinical and technical work, the JAAD essay in scholarly and clinical work, and the dermoscopy dashboard in technical and scholarly work.

Clinical

A
  • Medical DermatologyComplex inflammatory and autoimmune skin disease
  • DermatopathologyHistopathologic interpretation and clinicopathologic correlation
  • Cutaneous OncologySkin cancer diagnosis and management
  • Rheumatology-DermatologyOverlap conditions and systemic manifestations
  • Procedural DermatologyBiopsies, excisions, cryotherapy

Technical

B
  • Clinical AI / LLMsMultimodal model evaluation, fine-tuning, prompt design
  • Web DevelopmentReact, Astro, TypeScript, Node.js
  • Data VisualizationD3.js, interactive dashboards, medical graphics
  • Medical InformaticsEHR integration, FHIR, clinical decision support
  • PythonData analysis, API development, automation

Scholarly

C
  • Clinical ResearchStudy design, IRB protocols, outcomes research
  • Medical WritingPeer-reviewed manuscripts and grant proposals
  • Quality ImprovementProcess optimization and metrics
  • Medical EducationCurriculum development and assessment design
  • Health EquityDisparities, access, algorithmic fairness
Postscript · Companion essays

Outside the clinic, a few self-portraits in data.

A close reading of my Spotify all-time top 100 — Pareto distributions, era cartography, a genre map, and a weighted carousel of every album cover. Honest data about what I actually play. Its companion, Revealed Preference, reads the full streaming history with timestamps — what gets played, when, and the gap between the library I curate and the music I actually reach for. A third piece, a ludic self-portrait, runs the same analysis on my all-time favorite games — genre concentration, a two-axis era map of when each game was made versus when I played it, and the same honest look at what I keep returning to.

Read the music essay →Read the companion →Read the games essay →