Nima Aghaeepour
Scholar

Nima Aghaeepour

Google Scholar ID: VajMetgAAAAJ
Stanford University
Machine LearningArtificial IntelligenceSystems ImmunologyData IntegrationWearable Devices
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Citations & Impact
All-time
Citations
8,590
 
H-index
45
 
i10-index
111
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
3 items
Evidence-Grounded Subspecialty Reasoning: Evaluating a Curated Clinical Intelligence Layer on the 2025 Endocrinology Board-Style Examination
2026
Cited
0
MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
2025
Cited
0
VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records
2025
Cited
0
Resume (English only)
Background
  • The Aghaeepour lab uses machine learning to study patients in translational settings. This includes integrative “multiomics” analysis across genomics, proteomics, imaging, and single-cell technologies, as well as quantitative clinical phenotyping using electronic health records and wearable devices.
Co-authors
0 total
Co-authors: 0 (list not available)