Naturopathic physician and independent researcher developing a rigorous framework for informational medicine — where remedies restore organizational coherence rather than replace missing molecules. Clinician, educator, and writer.

Naturopathic Physician • Systems Medicine • Clinical Data Science

Professional Profile

I am a naturopathic physician, independent researcher, and clinical data scientist with a career spanning thirty years of clinical practice, seventeen years of graduate medical education, and postdoctoral training in bioinformatics and computational biomedicine.

My current work develops integrative systems-medicine frameworks that map the organ-network theories of Asian classical and anthroposophical medicine onto modern neuroendocrine-immune physiology — with a particular focus on botanical medicine as a systems-level therapeutic language. Alongside this theoretical work, I conduct applied research in clinical data science and am developing decision-support tools for integrative practitioners.

I completed a National Library of Medicine postdoctoral fellowship in bioinformatics and computational biomedicine at Oregon Health & Science University (OHSU), where I worked with multimodal health data, longitudinal modeling, and physiological signal analysis. I am available for consulting and collaboration in medical and naturopathic data science.

Research & Scholarly Interests

  • Systems medicine and organ-network theory across Asian classical and anthroposophical traditions
  • Neuroendocrine-immune physiology and salutogenic frameworks
  • Botanical medicine as a systems-level therapeutic model
  • Bioelectricity, morphogenetic fields, and organismal regulation
  • Longitudinal and time-dependent patterns in clinical data
  • EHR-based analytics and naturopathic outcomes research
  • Physiological variability and wearable-derived autonomic metrics
  • Clinical decision-support tool development for integrative practice

Analytical & Technical Capabilities

Core Analytics & Modeling

  • Statistical and predictive modeling
  • SQL-based data analysis and dataset exploration
  • Longitudinal and time-dependent data analysis
  • Machine learning methods for applied healthcare analytics
  • Interpretable modeling and performance evaluation (ROC-AUC, precision/recall, SHAP)

Data Engineering & Workflows

  • Design of reproducible analytics pipelines and workflows
  • Data extraction, transformation, validation, and quality assurance
  • Clinical and real-world data processing (including FHIR-based EHR extraction and cohort construction)
  • Reproducible research practices (Git, Jupyter, structured analytic workflows)

Physiological & Multimodal Data

  • Time-series analysis and physiological signal processing (HRV, ECG, PPG)
  • Integration of multimodal healthcare data (EHR, wearable, and laboratory datasets)
  • Systems- and physiology-informed analytical perspectives

Analytics & Visualization

  • Development of decision-oriented dashboards and reporting frameworks
  • Longitudinal and cohort-based healthcare data visualization
  • KPI / metric design for clinical and operational datasets
  • Communicating complex analytical findings through visual artifacts

Education

Master of Science, Bioinformatics & Computational Biomedicine
Oregon Health & Science University (OHSU), Portland, OR | 2023–2025

Doctorate, Naturopathic Medicine (ND)
National University of Natural Medicine (NUNM), Portland, OR | 1993–1998

Master of Science, Oriental Medicine (MSOM)
National University of Natural Medicine (NUNM), Portland, OR | 1996–1998

Bachelor of Science, Physics & Mathematics
The Ohio State University, Columbus, OH | 1987–1992

Academic & Clinical Appointments

Assistant Professor & Attending Physician
National University of Natural Medicine | 2004–2020

  • Taught physiology, biochemistry, endocrinology, pathology, and pharmacology to graduate medical students for seventeen years
  • Supervised clinical training in outpatient teaching clinics
  • Mentored student-led clinical research projects
  • Contributed to curriculum development and academic governance
  • Created an extensive library of recorded lectures now freely available as open educational resources

National Library of Medicine Postdoctoral Fellow
Bioinformatics & Computational Biomedicine
Oregon Health & Science University | 2023–2025

  • Developed machine learning pipelines for predicting chronic disease risk using multimodal biomedical data, including wearable signals, clinical labs, and survey measures
  • Applied advanced signal processing and feature engineering (FFT, SDNN, RMSSD) to time-series biosensor data, contributing to digital biomarker discovery
  • Implemented interpretable modeling approaches to support clinical relevance and transparency
  • Established reproducible workflows integrating Python, SQL, and Git

Research Data Analyst
Casey Eye Institute, OHSU | 2024–2025

  • Supported ETL and integration of large-scale NIH AI-READI datasets to support deep learning analyses in healthcare

Co-Investigator & Data Engineer/Analyst
Naturopathic EHR Outcomes Research Project
Helfgott Research Institute / Institute for Natural Medicine | 2025–Present

  • Co-PI and primary data engineer and analyst on a RAND REACH pilot-funded study examining patient presentations, treatment patterns, and clinical outcomes in naturopathic practice
  • Responsible for EHR data extraction, pipeline development, cohort construction, and analytical workflow design
  • Research aims to generate practice-based evidence for naturopathic medicine, a population substantially underrepresented in the clinical literature

Naturopathic Physician
Telehealth Provider | 2021–Present

  • Provide consultative integrative care for chronic and complex conditions via telehealth
  • Current clinical focus on systems-based approaches to chronic disease, organ-network pattern recognition, and botanical therapeutics

Current Projects

  • Systems Medicine Framework — developing a unified clinical architecture integrating Asian classical medicine, anthroposophical medicine, and neuroendocrine-immune physiology
  • Clinical Decision-Support Platform — condition → organ-pattern → herb navigation tool for integrative practitioners
  • Naturopathic EHR Analysis — outcomes and pattern research using real-world naturopathic clinical data
  • Botanical Therapeutics Framework — structured systems-level model for polyherbal clinical reasoning

Selected Publications

Capstone
Kalnins, P. (2025). Wearable-derived autonomic metrics for predicting metabolic and hepatic risk: Insights from AI-READI. Department of Medical Informatics and Clinical Epidemiology, OHSU. DOI: 10.6083/bpxhc44709

Journal Articles
Mist SD, Aickin M, Kalnins P, et al. Reliability of AcuGraph system for measuring skin conductance at acupoints. Acupunct Med. 2011;29(3):221–226.

Shaw K, Wright K, Wang J, Kalnins P. Synergism of herbs in classical Chinese medicine: evidence from HPLC. BMC Complement Altern Med. 2012;12(Suppl 1):P39.

Dombrowski A, Imre K, Yan M, Kalnins P, et al. Treatment of Osteoarthritis With Low-level Laser Therapy, Acupuncture, and Herbal Therapy: A Case Report. Integr Med (Encinitas). 2018;17(2):48–53.

Kalnins P, Brucker M, Spears D. Prolonged Survival in a Patient with Idiopathic Pulmonary Fibrosis Receiving Acupuncture and DHEA-Promoting Herbs with Conventional Management. Perm J. 2019;23:18–074.

Teaching

Seventeen years of graduate-level medical education at NUNM, covering systems physiology, endocrinology, biochemistry, pathology, and integrative clinical reasoning. Current teaching includes a bimonthly small-group mentorship program for licensed integrative practitioners, focused on systems-based approaches to complex chronic illness and organ-pattern clinical reasoning.