L. Raymond Guo

About

Dr. L. Raymond Guo is an Assistant Professor in the Department of Pharmaceutical Systems and Policy at West Virginia University. As a transdisciplinary health scientist, he operates at the intersection of Artificial Intelligence, Health Outcomes, and Health Policy. His research is anchored in the concept of health data impact, leveraging advanced analytics such as Large Language Models and geospatial intelligence to translate high dimensional health data into strategies that enhance the quality, safety, and equity of care.

Dr. Guo specializes in developing intelligent health systems that predict patient trajectories and optimize clinical decision making. His portfolio focuses on the ethical deployment of AI safety and explainable AI in diverse healthcare settings, with a particular emphasis on rural care environments. By bridging the gap between complex informatics and clinical application, he aims to address systemic challenges in healthcare delivery and support integrative healthcare for underserved populations.

Employment

• West Virginia University Assistant Professor
  2026 - Present
• St. Louis VA Medical Center Health Science Specialist
  2024 - 2026
• US Department of Veterans Affairs Clinical Research Coordinator
  2020 - 2024
• Washington University in St Louis Staff Scientist
  2018 - 2020
• Washington University in St Louis Lab Manager
  2012 - 2020
• University of Michigan Lab Manager
  2010 - 2012

Education

• Northern Illinois University Ph.D. in Health Sciences
  2021 - 2025
• Washington University in St Louis M.A. in Statistics
  2018 - 2020
• East China University of Science and Technology M.S. in Biochemistry and Molecular Biology
  2007 - 2010
• Shanghai Normal University Bachelor's Diploma in Applied Psychology
  2002 - 2004
• Shanghai Normal University B.S. in Biology Sciences
  2000 - 2004

Projects & Funding

Projects & funding information is unavailable.

Publications (35)

• Stress Testing Large Language Models for Real-World Healthcare Use
  2026 DOI: 10.2139/ssrn.6671898
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• The governance of health data in the AI era: a scoping review and computational topic model of the global research landscape
  JAMIA Open 2026 DOI: 10.1093/jamiaopen/ooag074
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• Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction
  Frontiers in Public Health 2025 DOI: 10.3389/fpubh.2025.1472398
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• Data Ownership in the AI-Powered Integrative Health Care Landscape
  JMIR Medical Informatics 2024 DOI: 10.2196/57754
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• Geospatial Hot Spots and Cold Spots in US Cancer Disparities and Associated Risk Factors, 2004–2008 to 2014–2018
  Preventing Chronic Disease 2024 DOI: 10.5888/pcd21.240046
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• Enhancing data practices for Whole Health: Strategies for a transformative future
  Learning Health Systems 2024 DOI: 10.1002/lrh2.10426
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• Data Ownership in the AI-Powered Integrative Health Care Landscape (Preprint)
  2024 DOI: 10.2196/preprints.57754
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• Dynamic Patterns and Modeling of Early COVID-19 Transmission by Dynamic Mode Decomposition
  Preventing Chronic Disease 2023 DOI: 10.5888/pcd20.230089
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• Construction and case study of a novel lung cancer risk index
  BMC Cancer 2022 DOI: 10.1186/s12885-022-10370-4
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• Creation and Evaluation of the Illinois Cancer Risk Index as a Predictor of Four Common Cancers
  Preventing Chronic Disease 2022 DOI: 10.5888/pcd19.220104
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