Soroush Dianaty

• Anchoring continuous wearable biosignals and multimodal sensor data (PPG, ECG) to physiological rationale and computational cardiovascular modeling.
• Developing translational digital biomarker pipelines from wearable devices and cardiovascular modeling frameworks for cardio-oncology monitoring and risk stratification.

• Contributing clinical expertise to knowledge representation (Guideline Elements Model / GEM) and RAG pipelines for AI-assisted living clinical practice guidelines, automating evidence extraction from biomedical literature with human-in-the-loop expert validation.
• Developed patient-facing educational content, clinical logic, and backend scoring algorithms for an online contraception decision aid (MyChoicesForAll) for gender-diverse populations (funded by AHRQ).

• Developed and validated EHR segmentation rules to support automated substance-use-disorder record sharing under federal privacy frameworks (42 CFR Part 2).
• Applied clinical domain knowledge to improve structured health data interpretability and co-developed context-aware LLM methods for sensitive health text classification.

• Led interdisciplinary development of neural networks for cardiovascular disease detection from photoplethysmography (PPG) signals.
• Built end-to-end Python pipelines for acquisition, preprocessing, and analysis of EHR-linked biosignal data.

• Coordinated logistical operations and research-related content development for international scientific congresses, symposiums, and youth researcher initiatives.
• Built Python automation pipelines for certificate generation, reducing processing time by 60%.

• Conducted data entry, visualization, and statistical analysis in IBM SPSS supporting neuropharmacology research.

• Supported instruction for BMI 507 (Image Processing and Analysis, Fall 2026), BMI 601 (Health Informatics, Spring 2026), and BMI 201 (Introduction to Clinical Informatics, Fall 2025) through hands-on lab facilitation, assignment and discussion design, grading, and student mentoring.

• Designed and delivered a 6-hour interactive online workshop for 50+ medical students and researchers on leveraging generative AI tools in academic literature synthesis, drafting, and scientific writing.

12-hour intensive, case-based training focused on digital health intervention design, behavioral data integration, study strategy, and interdisciplinary problem-solving.

Co-organized interactive workshop implementing the FUTURE-AI international consensus principles (Fairness, Universality, Traceability, Usability, Robustness, Explainability) for consumer health AI applications.

Intensive clinical informatics training covering EHR workflows, computerized provider order entry (CPOE), physician documentation, and clinical decision support (CDS) integration.

Comprehensive deep dive into HL7 FHIR implementation architectures, US Core profiles, SMART on FHIR app launch frameworks, and health data interoperability.

Advanced strategies for oral medical research communication, medical discourse structuring, and effective scientific data presentation.

• Leading corporate and institutional partnership strategies to bridge academic research with life science venture capitals, biotech firms, and regional innovation hubs.
• Orchestrating sponsor relations, resource allocation, and ecosystem engagement for the annual Nucleate Arizona BioChallenge.

• Delivered primary and preventive care for a rural population of 7,500+ across 17 villages and 5 satellite health centers.
• Managed chronic disease, prenatal, adolescent, and mental health care within Iran's national EHR system.
• Coordinated care with multidisciplinary teams across distributed rural service sites.

• Completed 7,000+ hours of clinical rotations across 6 hospitals and 16 specialties.