An example preprint / working paper
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Professional Summary
Physician-scientist and PhD student, focused on the evaluation and real-world implementation of clinical AI systems. My research centers on trustworthy clinical LLMs, including hallucination detection, evidence grounding, contextual reliability, and AI safety in healthcare settings. I develop evaluation frameworks and computational methods to determine whether clinical AI systems are scientifically grounded, clinically reliable, and suitable for deployment in real-world practice.
Education
PhD, Biomedical Informatics and Data Science
Aug 2025
Arizona State University
Doctor of Medicine (M.D.)
Sep 2016
Jun 2024
Tehran Medical Branch, IAU
Interests
Health Informatics
Digital Health
Clinical LLMs
Trustworthy Clinical AI
📚 My Research
Physician-scientist and PhD researcher in Biomedical Informatics at Arizona State University, specializing in evaluation frameworks for trustworthy clinical LLMs. Research focuses on translating academic findings into clinically deployable AI systems, with emphasis on hallucination detection, evidence grounding, and responsible AI evaluation. Brings frontline clinical experience and ML research training to bridge the gap between what health AI can do and what clinicians and patients can safely trust.
Featured Publications
An example conference paper
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Recent Publications
(2019).
An example preprint / working paper.
(2015).
An example journal article.
Journal of Source Themes, 1(1).
(2013).
An example conference paper.
In ICW.
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