Junjie Luo

Building Human-Centered AI for Healthcare

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Junjie Luo

Ph.D. candidate @Johns Hopkins University, School of Medicine

I am a Ph.D. Candidate in Biomedical Informatics and Data Science at the School of Medicine, Johns Hopkins University. My research focuses on designing and developing healthcare AI using real-world data, with special emphasis on human factors and behaviors to enhance health and wellness.

My research program centers on large foundation models for healthcare, particularly continuous glucose monitoring (CGM) for diabetes management:

  • Research & Development: I develop novel AI systems tailored to real-world health problems, including large sensor models, agentic AI for patient messaging, and multi-modal sensor data modeling.
  • Implementation & Evaluation: I deploy these models in production environments and evaluate them for both performance and human values such as fairness and robustness.

My research methodology distinctively combines the full AI lifecycle from development to deployment with strong industry collaborations (WellDoc, DrFirst, MedStar Health). My passion is conducting research that delivers tangible benefits to both patients and healthcare systems.

Education

  • 2022-presentPhD in Biomedical Informatics and Data Science
    Johns Hopkins School of Medicine
  • 2020-2022PhD in Information Systems (transferred)
    University of Maryland, College Park
  • 2018-2020M.S. in Data Science
    The Chinese University of Hong Kong, Shenzhen
  • 2014-2018B.B.A. in Applied Economics
    The Chinese University of Hong Kong, Shenzhen

Research Interests

  • TopicsHealthcare AI, Foundation Models for Sensor Data, Continuous Glucose Monitoring, Agentic AI, Human-Centered AI, Health Disparities
  • MethodologiesFoundation Models, Natural Language Processing, Multi-Modal Sensor Modeling, Causal Inference, MLOps

Papers

Awards

Grants

  • 2025 Samsung Research America (SRA) START Program Grant - $150,000 CGM- and Behavior-based Large Health Model for Just-in-Time Diabetes Management PI: Guodong (Gordon) Gao; Co-PIs: Brian Hasselfeld, Nestoras Mathioudakis; Research Lead: Junjie Luo
  • 2023-24 Hopkins Business of Health Initiative (HBHI) Grant - $25,000 A Double-Edged Sword? Examining the Relationship Between Patient Satisfaction and Physician Overprescription PI: Gordon Gao; Co-PI: Ritu Agarwal; Research Team Member: Junjie Luo

Patents

  • 2025 Systems and methods for metabolic outcome predictions Junjie Luo, Abhimanyu Kumbara, Anand Iyer, Mansur Shomali, Guodong (Gordon) Gao US Patent 12,293,841
  • 2025 Systems and methods for continuous glucose monitoring outcome predictions Anand Iyer, Abhimanyu Kumbara, Mansur Shomali, Junjie Luo, Guodong (Gordon) Gao US Patent 12,283,381
  • 2025 Systems and methods for metabolic outcome predictions Anand Iyer, Abhimanyu Kumbara, Junjie Luo, Mansur Shomali, Guodong (Gordon) Gao US Patent App. 19/095,962
  • 2023 Systems and methods for score based clusters Anand Iyer, Malinda Peeples, Mansur Shomali, Abhimanyu Kumbara, Michelle Dugas, Guodong (Gordon) Gao, Junjie Luo US Patent App. 18/052,094

Academic Service

  • 2026 Reviewer, International Conference on Machine Learning (ICML 2026)
  • 2026 Reviewer, NeurIPS 2026, Evaluations and Datasets Track
  • 2026 Reviewer, npj Digital Medicine
  • 2026 Reviewer, Scientific Reports
  • 2022-23 Reviewer, JAMIA Open

Honors and Awards

  • 2020 R.H.Smith School Graduate Assistant Scholarship
  • 2020 Academic Performance Scholarship
  • 2018 Admission Scholarship for Masters Program
    The Chinese University of Hong Kong, Shenzhen
  • 2015-18 Dean's List Honor
  • 2016-17 Academic Performance Scholarship
  • 2016-17 Undergraduate Research Award
  • 2014 Admission Scholarship for Undergraduate Program
    The Chinese University of Hong Kong, Shenzhen

Teaching

Johns Hopkins University

  • 2025 Spring AI Essentials for Business, Carey Business School
    Lecturer, Content Co-designer, 47 students, 4.51/5.00
  • 2024 Fall AI Essentials for Business, Carey Business School
    AI Tech Lead
  • 2024 Fall Clinical Data Analysis with Python, School of Medicine
    Teaching Assistant
  • 2024 Spring Big Data Machine Learning, Carey Business School
    AI Tech Lead

University of Maryland, College Park

  • 2021 Summer AI Leadership in Healthcare Exec Ed program, R.H.Smith School of Business
    Head of AI Specialists

The Chinese University of Hong Kong, Shenzhen

  • 2017 Spring DMS2051: IT in Business Application, School of Management and Economics
    Teaching Assistant

Conference Presentations

  • 2024.9 Mansur Shomali, Junjie Luo, Abhimanyu Kumbara, Anand Iyer, Guodong (Gordon) Gao. Evaluating a state-of-the-art generative pre-trained transformer model to predict continuous glucose monitoring values at different time intervals.
    Diabetologia 67, S399-S400 (2024)
  • 2024.5 Junjie Luo, Abhimanyu Kumbara, Anand Iyer, Mansur Shomali and Guodong (Gordon) Gao. Using an Automated, Real-time Data Enabled Feature Engineering Process to Predict Future Weight Outcomes.
    Conference on Health IT and Analytics'2024
  • 2023.7 Junjie Luo, Gordon Gao, Ritu Agarwal. Assessing Dataset Quality to AI Bias and Healthcare Disparity: A Study on EHR-Based Prediabetes to Diabetes Risk Prediction Models.
    INFORMS Healthcare'2023
  • 2023.7 Junjie Luo, Mansur Shomali, Abhimanyu Kumbara, Anand Iyer, and Guodong (Gordon) Gao. Using Early Engagement Data from a Digital Health to Predict Future Health Outcomes.
    INFORMS Healthcare'2023
  • 2023.5 Junjie Luo, Aishwarya Shukla, Jie Mein Goh, Guodong (Gordon) Gao, Ritu Agarwal. Relationships Between Patient Satisfaction and Physician Overprescription: Evidence from Online Reviews and CMS Claim Data.
    Production and Operations Management Society'2023
  • 2023.5 Junjie Luo, Abhimanyu Kumbara, Anand Iyer, Mansur Shomali, and Guodong (Gordon) Gao. Using Early Engagement and CGM Data from a Digital Health Solution to Predict Future Engagement Patterns.
    Conference on Health IT and Analytics'2023
  • 2022.11 Junjie Luo, Casey Kindall, Sara-Laure Faraji, Guodong (Gordon) Gao, Ritu Agarwal, Sally Simpson. Foretelling the Physician's Future: Healthcare Fraud Prediction with Behavioral Big Data.
    American Society of Criminology Annual Meeting'2022
  • 2022.6 Junjie Luo, Guodong (Gordon) Gao, Ritu Agarwal, and Sally Simpson. "Minority Report" Comes True: Using Behavioral Big Data to Predict Physician Fraud.
    Academy Health'2022
  • 2022.4 Junjie Luo, Shiping Liu, Guodong (Gordon) Gao, Ritu Agarwal. Racial Disparity in the Availability of Social Determinants of Health Information in EHR Data.
    Production and Operations Management Society'2022
  • 2022.3 Junjie Luo, Guodong (Gordon) Gao, Ritu Agarwal, and Sally Simpson. "Minority Report" Comes True: Using Behavioral Big Data to Predict Physician Fraud.
    Conference on Health IT and Analytics'2022
  • 2021.6 Junjie Luo, Xi Chen, Jichao Sun, Yuejia Xiang, Ningyu Zhang and Xiang Wan. Field Embedding: A Unified Grain Based Framework for Word Representation.
    North American Association for Computational Linguistics'2021

Industry Collaboration & Experience

Industry Collaboration

  • I have been collaborating with several industry partners to develop and deploy healthcare AI solutions for real-world clinical and business problems.
  • • WellDoc Inc. (Digital Health - Diabetes Management)
  • • DrFirst Inc. (Healthcare Technology - Medication Adherence)
  • • MedStar Health (Healthcare System - EHR Analytics)
  • • Inovalon Inc. (Healthcare Data Analytics)
  • • Johns Hopkins Hospital (Academic Medical Center)

Professional Experience

  • 2020 Algorithm Engineer at Jarvis AI Lab, Healthcare Group, Tencent Ltd
    Shenzhen, China
  • 2017-2020 Research Assistant at Shenzhen Research Institute of Big Data
    Shenzhen, China
  • 2017 Data Mining Engineer at Ping An of China, Ping An Technology Co. Ltd
    Shenzhen, China
  • 2016-2017 Research Assistant at School of Management and Economics, CUHK, Shenzhen
    Shenzhen, China