Research & Scholarship
My research sits at the intersection of integrative medicine theory, systems physiology, and clinical data science. It has two broadly complementary dimensions: theoretical framework development in systems and integrative medicine, and applied clinical data analysis and decision-support tool development.
Theoretical & Framework Research
My theoretical research spans three interconnected areas: the development of a unified systems-medicine clinical framework, a structured approach to botanical therapeutics, and an investigation of bioelectric and morphogenetic field dynamics as integrative regulatory layers.
Systems Medicine & Organ-Network Theory
My primary independent research develops a unified clinical architecture that maps the organ-network and pattern theories of Asian classical medicine and anthroposophical medicine onto modern neuroendocrine-immune physiology. The goal is a coherent, multi-scale framework for understanding how regulatory systems interact in health and disease — one that is both clinically actionable and in genuine dialogue with contemporary biology.
This work draws on:
- Traditional Chinese, Tibetan, and Ayurvedic organ-system and pattern frameworks
- Anthroposophical medicine and its planetary life-process model
- Neuroendocrine-immune signaling and systems endocrinology
- Salutogenesis and health-generative regulatory dynamics
- Network medicine and systems biology principles
A central focus is the development of a shared clinical language across these traditions — one capable of generating testable hypotheses and supporting structured clinical reasoning.
Botanical Medicine as a Systems-Level Therapeutic Language
Parallel to the framework work, I am developing a structured approach to botanical medicine that moves beyond isolated herb-condition correspondences toward a systems-level therapeutic model. This includes mapping herbal actions onto organ-network patterns, developing polyherbal reasoning frameworks, and building evidence-informed protocols grounded in integrative physiology.
Bioelectricity, Signaling, and Morphogenetic Fields
A developing thread of my theoretical work explores the role of bioelectric signaling and morphogenetic fields in organismal regulation and health. Drawing on Michael Levin’s work in developmental bioelectricity and David Bohm’s concept of implicate order, I am investigating how bioelectric gradients and field-level organization may serve as integrative layers connecting molecular signaling, organ-level physiology, and whole-organism regulatory dynamics.
This work intersects with my interest in metabolic and signaling pathway analysis — particularly how disruptions in bioelectric and biochemical signaling networks contribute to chronic disease patterns across multiple organ systems.
Applied Research & Tool Development
Clinical Decision-Support for Integrative Practitioners
I am developing a clinical decision-support platform designed for integrative and naturopathic practitioners. The system provides structured navigation from presenting condition → organ-pattern → herb and protocol recommendations, built on the theoretical frameworks described above.
The platform is intended as a knowledge layer for practitioners working with complex, multisystem presentations — supporting pattern recognition, treatment planning, and continuing education simultaneously.
Naturopathic EHR Data Analysis
I am developing an analytical project using real-world electronic health record data from naturopathic clinical practice. This work aims to characterize patient presentations, treatment patterns, and clinical outcomes in integrative and naturopathic care — a population and practice context that remains substantially underrepresented in the clinical research literature.
This project sits at the intersection of clinical informatics, naturopathic medicine, and outcomes research, and has potential implications for both practice-based evidence development and health policy.
Clinical Data Science & Informatics
My applied research background includes a postdoctoral fellowship in bioinformatics and computational biomedicine at Oregon Health & Science University (OHSU), with a focus on multimodal clinical data, longitudinal modeling, and EHR-based analytics.
Current analytical interests include:
- Longitudinal and time-dependent patterns in real-world clinical data
- Physiological variability and autonomic metrics (HRV, wearable-derived signals) as indicators of regulatory resilience
- EHR-based phenotyping and cohort analysis methods
- Interpretable modeling approaches connecting quantitative patterns to clinically meaningful phenomena
- Integration of traditional medicine pattern frameworks with quantitative clinical datasets
Writing & Dissemination
Research findings, theoretical developments, and clinical frameworks are disseminated through my Substack publication and through the practitioner mentorship group, where emerging frameworks are tested against real-world clinical cases. I am working toward formal publication of key theoretical contributions.
Consulting & Collaboration
I am available for consulting and collaborative projects in medical and naturopathic data science. This includes:
- Clinical data analysis and EHR-based research
- Longitudinal modeling and physiological variability analysis
- Decision-support tool development for integrative practice
- Systems-oriented frameworks for chronic disease research
- Wearable and digital health data interpretation
I welcome collaboration with researchers, clinicians, practitioners, and organizations working at the intersection of integrative medicine and clinical data science.