Meet the GlowGut Pro Team

Our team combines decades of Traditional Chinese Medicine clinical experience with cutting-edge AI research to build tools that make gut health screening accessible worldwide.

Dr. Wei Chen

Chief Medical Advisor

Qualifications

  • Doctor of Traditional Chinese Medicine, Shanghai University of TCM
  • Licensed Acupuncturist & TCM Physician (NCCAOM Board Certified)
  • 20+ years of clinical practice specializing in tongue diagnosis
  • Fellow, World Federation of Chinese Medicine Societies

Experience & Publications

Dr. Chen has diagnosed over 40,000 patients using tongue analysis in clinical settings across Shanghai and San Francisco. His research on the correlation between tongue coating patterns and gastrointestinal inflammation markers has been published in the Journal of Traditional Chinese Medicine and Evidence-Based Complementary and Alternative Medicine.

He serves as a clinical advisor for GlowGut Pro's AI training data validation, ensuring that machine learning models align with established TCM diagnostic criteria. Dr. Chen has also been quoted in media coverage on AI-assisted health screening by South China Morning Post and HealthTech Magazine.

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Dr. Sarah Liu

Head of AI Research

Qualifications

  • PhD in Biomedical AI, Stanford University
  • BS in Computer Science, Tsinghua University
  • Former Researcher, Stanford Center for AI in Medicine and Imaging (AIMI)
  • Co-authored 12 peer-reviewed papers on AI in healthcare

Experience & Research

Dr. Liu's doctoral research focused on applying vision transformers to medical imaging classification, achieving state-of-the-art results on dermatological and oral diagnostic datasets. At Stanford AIMI, she developed transfer learning pipelines that reduced the data requirements for medical AI models by 60%.

At GlowGut Pro, Dr. Liu leads the development of the tongue analysis AI pipeline, from image preprocessing and color normalization to multi-label classification and confidence calibration. Her work ensures that GlowGut Pro's diagnostic accuracy is validated against peer-reviewed benchmarks.

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James Park

Lead Engineer

Qualifications

  • MS in Machine Learning, Carnegie Mellon University
  • BS in Computer Science, Massachusetts Institute of Technology
  • 10+ years of full-stack and ML engineering experience
  • Previously built AI diagnostic tools at a leading digital health company

Experience

James has shipped production ML systems serving millions of daily users across healthcare, e-commerce, and fintech. His expertise spans real-time inference optimization, progressive web app architecture, and privacy-preserving machine learning.

At GlowGut Pro, James architects the end-to-end system from the PWA camera interface to the server-side AI inference pipeline. He focuses on sub-second response times, cross-device compatibility, and ensuring that tongue images are processed securely without persistent server-side storage.

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Advisory Board

GlowGut Pro is supported by an advisory board of TCM practitioners, gastroenterologists, and AI ethics researchers who review our methodology, validate diagnostic accuracy, and ensure responsible AI deployment in healthcare contexts.

If you are a healthcare professional or researcher interested in collaborating, please reach out at research@glowgut.org.

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