Soroush Dianaty
Graduate Teaching Associate,
CHS Office of the Dean - Academic Success - Graduate Education
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Mail code: 9020Campus: Phoenix
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Student Information
Graduate StudentBiomedical Informatics and Data Science
Health Solutions
Long Bio
Soroush Dianaty, MD
PhD Student & Graduate Teaching Associate | Biomedical Informatics & Data Science
College of Health Solutions, Arizona State University
Student Member, American Medical Informatics Association (AMIA)
Executive Biography
Soroush Dianaty, MD, is a Physician-Scientist, Biomedical Informatics and Data Science PhD student, and Graduate Teaching Associate at the Arizona State University (ASU) College of Health Solutions. Dr. Dianaty bridges clinical medicine, computational data science, and artificial intelligence to design, evaluate, and deploy context-aware, privacy-preserving healthcare technologies.
Previously practicing as a rural family physician managing healthcare delivery for over 7,500 patients across 17 villages, Dr. Dianaty integrates frontline clinical intuition with advanced machine learning techniques. His research and technical workflow span end-to-end health data pipelines, electronic health record (EHR) interoperability standards, clinical decision support (CDS), and large language model (LLM) fine-tuning, linear probing, and evaluation frameworks.
In his capacity on the Partnerships Team for Nucleate Arizona, Dr. Dianaty supports strategic alliances between emerging biotech ventures, university spin-offs, corporate sponsors, and life science venture capital funds. He was awarded 1st Place at the Nucleate Arizona BioChallenge (2025) for healthcare technology commercialization.
Key Competencies & Technical Stack
Clinical LLMs & Generative AI
- Vector Databases and Retrieval-Augmented Generation (RAG)
- LLM Fine-Tuning (LoRA, PEFT) and Linear Probing
- Clinical LLM Evaluation Frameworks (MedHELM, QUEST, CLEVER).
Data Architecture & Interoperability
- HL7 FHIR and OHDSI OMOP Common Data Model
- Clinical Guideline Automation (CPG-on-FHIR, Yale GEM III / ASTM E2210)
- Relational Health Schemas (PostgreSQL)
- Health Regulatory Frameworks (HIPAA, 42 CFR Part 2, HITECH)
Computer / Data Science & ML
- Python (NumPy, Pandas, Matplotlib, Scikit-learn, PyTorch)
- Git, Linux, Docker
Education
- Doctor of Philosophy (PhD), Biomedical Informatics and Data Science (In Progress)
College of Health Solutions, Arizona State University | Aug 2025 – Present - Doctor of Medicine (MD)
Islamic Azad University, Tehran Medical Sciences (IAUTMU) | Sep 2016 – Jun 2024 - Bachelor of Science (BS), Chemical Engineering (Dropped out)
Sharif University of Technology | Sep 2013 – Feb 2016 - High School Diploma, Mathematics and Physics | Alborz High School | Sep 2009 – Jun 2012
Google Scholar URL
ORCID Profile ID
Research Interests
- Clinical Informatics
- Health Data Science
- Digital Health
- Trustworthy AI
Publications
Peer-reviewed Articles
- Lee P, Dhadwal AS, Kaiser M, Dianaty S, Lott E, Singh G, Chern D, Walonoski J, Grando A. Assessing the Effectiveness and Scalability of Fast Healthcare Interoperability Resource-Based Granular Data Segmentation Technology. Appl Clin Inform. 2026 May;17(3):423-433.
- Dianaty S, Gholami F, Gholamrezaie HR, Mirzaei A. Cost-effectiveness of plasmapheresis and hemoperfusion in COVID-19 survivors: A six-month follow-up analysis after hospital discharge. Ther Apher Dial. 2025 Jan 14.
- Raiszadeh M, Khosronejad A, Dianaty S, Ghorbani Yekta B. Novel repair of acute Stanford type B aortic dissection using combined endovascular graft and transfemoral replacement of vascular plug. Catheter Cardiovasc Interv. 2023 Dec;102(7):1287-1290.
- Dianaty S, Khodadadi S, Alimoghaddam R, Mirzaei A. Comparison of outcomes and costs of extracorporeal blood purification therapies in critically ill COVID-19 patients. Ther Apher Dial. 2023 Jun;27(3):505-516.
- Some Saraii ZK, Dianaty S, Rouhollah F, Zare N, Ghorbani Yekta B. Reproductive status of male rat offspring following exposure to methamphetamine during intrauterine life: An experimental study. Int J Reprod Biomed. 2023 Mar;21(2):175-184.
- Darabi R, Ghoreshi B, Dianaty S, Motevalli MS. Stress and menstrual disorders among Iranian medical students: A cross-sectional study. South East Asia J Med Sci. 2021 Sep;5(2):8-15.
- Yaminifar L, Dianaty S, Shahverdi Z, Yaraghi M, Ghorbani Yekta B. Differential diagnosis of benign ovarian cysts using tumor markers in serum and cyst fluid. South East Asia J Med Sci. 2021 Sep;5(2):1–7.
Conference Abstracts / Proceedings
- Dianaty S, Soumma SB. Explainable early prediction of acute kidney injury using first 24-hour physiologic and clinical data. 2nd Arizona Digital Health Symposium; 2026 May 5; Phoenix, AZ.
- Dianaty S, Kaiser M, Murcko A, Grando A. Early Evidence for Context-Aware Large Language Models (LLMs) in Sensitive Health Data Classification. In: Academy Health Annual Research Meeting 2026; 2026 May 30–Jun 2; Seattle, WA.
- Dianaty S, Ghorbani Yekta B. Effects of Descurainia Sophia products on urinary and renal function. in: Congress of Invention, Patenting and Manufacturing of Experimental, Pharmaceutical and Clinical Products IAUTMU; 2018 Feb 25; Tehran, Iran.
Book Chapters
Practical Guide to Psychiatric Medications, 2nd ed. (MTP Psychiatry, 2022):
- Introduction to Digital Psychiatry
- The COVID-19 Pandemic and Mental Health
- Apps and Wearables for Mental Health
- Future Advances in Mental Health
Research Activity
Dr. Dianaty’s research focuses on the intersection of AI, clinical interoperability, and privacy-preserving data architectures:
- Clinical Guideline Automation: Translating narrative clinical practice guidelines into computable, machine-readable representations using domain knowledge enriched by agentic LLM workflows and fine-tuning.
- Context-Aware Health Data Segmentation & Privacy: Developing granular data segmentation methodologies and linear probing techniques to ensure sensitive health data classification in enterprise clinical LLM pipelines.
- Clinical LLM Evaluation Frameworks: Benchmarking generative models against standardized healthcare metrics for factual precision, hallucination mitigation, and alignment in bench-to-bedside transitions.
- Patient-Centered Decision Support & Inclusive Digital Health: Development and evaluation of patient-facing educational content and back-end scoring logic for online contraception decision aid tools tailored to transgender and gender-nonconforming users assigned female at birth.
Honors / Awards
- First Place Grand Winner ($2,500), Nucleate Arizona BioChallenge | Arizona State University (Oct 2025)
- Graduate College Fellowship ($4,845) | Arizona State University (2025–2026)
- Active Member Recognition Award | Student Research Committee, Islamic Azad University Tehran Medical Sciences (IAUTMU) (Oct 2018)
Editorships
- Invited Peer Reviewer, Frontiers in Pharmacology (1 manuscript reviewed)
- Invited Peer Reviewer, Italian Journal of Gynaecology & Obstetrics (2 manuscripts reviewed)
Professional Associations
- American Medical Informatics Association (AMIA) | Student Member | Dec 2025 – Present
- ASU College of Health Solutions Council of Inclusive Excellence | Council Member | Oct 2025 – Present
- Medical Council of Iran (IRIMC) | Licensed General Practitioner (MD) | Sep 2024 – Present
- Universal Scientific Education and Research Network (USERN) | Executive Committee Member | Mar 2022 – Feb 2023
- Islamic Azad University Tehran Medical Sciences (IAUTMU) | Student Research Committee | Feb 2018 – Jun 2024
Graduate Faculties / Mentoring History
- Graduate Teaching Associate, College of Health Solutions, Arizona State University (Aug 2025 – Present): Guiding undergraduate and graduate students in health data science, biomedical informatics fundamentals, and technical coursework.
Work History
- Graduate Teaching Associate & PhD Researcher | College of Health Solutions, Arizona State University | Aug 2025 – Present
Conducting doctoral research in clinical LLMs, machine-readable clinical guidelines, and health data segmentation while supporting course instruction at ASU CHS. - General Practitioner / Rural Family Physician | Qazvin University of Medical Sciences | Sep 2024 – Jun 2025
Managed primary care operations, clinical workflows, and public health delivery for a panel of 7,500+ rural residents across 17 villages. - Student Research Assistant, IAUTMU (May 2018 – Jan 2020): Hands-on experience in exploratory data analysis and hypothesis testing in SPSS, lab animal handling, behavioral tests, and dissection.
Service
- Partnerships Team Member, Nucleate Arizona (July 2026 – Present): Driving corporate sponsorship acquisition, industry-academia connections, and biotech startup ecosystem development in the Southwest.
- Council Member, ASU CHS Council of Inclusive Excellence (Oct 2025 – Present): Contributing to college-level initiatives, policy reviews, and student advocacy at Arizona State University.
- Student Researcher, K.N. Toosi University of Technology (Aug 2023 – May 2024): Mentoring undergraduate engineering students developing artificial neural networks for cardiovascular disease detection using Photoplethysmography (PPG) biosignal processing.
- Executive and Research Intern, Universal Scientific Education and Research Network (USERN) (Mar 2022 – Mar 2023): Coordinated international interdisciplinary research groups, scientific workshops, and peer-mentorship programs.