Paul Kalnins

Healthcare analytics and clinical data professional with a background in physiology and clinical medicine. Focused on real-world data, longitudinal analysis, and interpretable models of health and disease.

Healthcare Analytics • Clinical Data • Clinical Informatics

Professional Profile

Healthcare analytics and clinical data professional with a background spanning clinical medicine, physiology, and computational analysis. My work focuses on longitudinal healthcare data, interpretable modeling approaches, and the analysis of real-world clinical datasets.

I completed a National Library of Medicine (NLM) postdoctoral fellowship in bioinformatics and computational biomedicine at Oregon Health & Science University (OHSU), where I worked with multimodal health data, predictive modeling workflows, and physiological data analysis. My analytical interests center on extracting meaningful signal from complex clinical and physiological datasets, with emphasis on interpretable and decision-focused methods.

My prior clinical and academic experience informs this work by providing domain expertise in physiology, clinical variability, and healthcare data-generating processes.

Analytical & Research Interests

  • Longitudinal and time-dependent patterns in clinical data
  • Healthcare and EHR-based data analysis
  • Physiological and wearable-derived data interpretation
  • Multimodal healthcare datasets (clinical, laboratory, digital health)
  • Quantitative approaches to metabolic and chronic disease dynamics

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
2023-2025
Oregon Health & Science University (OHSU), Portland, OR

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

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

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

Academic & Clinical Appointments

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

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

  • Taught physiology, biochemistry, endocrinology, pathology, and pharmacology to medical students
  • Supervised clinical training in outpatient teaching clinics
  • Mentored student-led clinical research projects
  • Contributed to curriculum development and academic governance

Naturopathic Physician
Telehealth Provider | 2021–Present

  • Provide consultative integrative care for chronic and complex conditions, informing translational research through longitudinal clinical observation

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

Extensive experience in graduate-level medical education, including systems physiology, endocrinology, pathology, and integrative clinical reasoning. Current teaching includes small-group professional education for licensed healthcare providers focused on systems-oriented approaches to complex chronic illness.