Junjie Luo
Ph.D. candidate @JHU, School of Medicine | On the Job Market
I am a Ph.D. Candidate in Health Science Informatics 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.
Education
- 2022-2026PhD in Health Science Informatics
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
- Working Papers
- • FairGlucose: A Benchmark for Fair and Robust Forecasting of Continuous Glucose Monitoring Time-Series Data Under Review at AAAI 2026
Junjie Luo, Xuzhe Zhi, Rui Han, Abhimanyu Kumbara, Anand K. Iyer, Mansur E. Shomali, Ritu Agarwal, Guodong (Gordon) Gao - • Group-Sensitive Offline Contextual Bandit Under Review at AISTATS 2026
Yihong Guo, Junjie Luo, Guodong (Gordon) Gao, Ritu Agarwal, Anqi Liu - • Physician Personality and Behavior: How LLM-Revealed Traits Shape Opioid Overprescriptions Working Paper
Junjie Luo, Ritu Agarwal, Guodong (Gordon) Gao
Hopkins Business of Health Initiative (HBHI) Grant, $25,000 - • Mapping Patient-Perceived Physician Traits from Nationwide Online Reviews with LLMs Working Paper
Junjie Luo, Rui Han, Arshana Welivita, Zeleikun Di, Jingfu Wu, Xuzhe Zhi, Ritu Agarwal, Guodong (Gordon) Gao - • Risk-Based Prediabetes Onset Subtypes Using EHR Data: a Machine Learning Approach Working Paper
Junjie Luo, Di Hu, Rui Han, Diyang Lyu, Ritu Agarwal, Jehan El-Bayoumi, Guodong (Gordon) Gao, Nawar Shara - Publications
- • PAME-AI: Patient Messaging Creation and Optimization using Agentic AI NeurIPS 2025 Workshop on GenAI for Health
Junjie Luo, Yihong Guo, Anqi Liu, Ritu Agarwal, Guodong (Gordon) Gao - • A large sensor foundation model pretrained on continuous glucose monitor data for diabetes management npj Health Systems, 2(1):35 (2025)
Junjie Luo, Abhimanyu Kumbara, Mansur Shomali, Rui Han, Anand Iyer, Grazia Aleppo, Ritu Agarwal, Guodong (Gordon) Gao - • Impact of Food on A Transformer Based Glucose Prediction Model to Predict Glucose Trajectories at Different Time Horizons Machine Learning for Healthcare (2025)
Mansur E. Shomali, Junjie Luo, Abhimanyu Kumbara, Anand K. Iyer, Guodong (Gordon) Gao - • CGM-GPT: A Transformer Based Glucose Prediction Model to Predict Glucose Trajectories at Different Time Horizons Machine Learning for Healthcare (2024)
Mansur Shomali, Junjie Luo, Abhimanyu Kumbara, Anand Iyer, Guodong (Gordon) Gao - • Recency in Online Physician Ratings JAMA Internal Medicine, 182(8):881-883 (2022)
Weiguang Wang, Junjie Luo, Michelle Dugas, Guodong (Gordon) Gao, Ritu Agarwal, Rachel Werner - • Socioeconomic privilege and political ideology are associated with racial disparity in COVID-19 vaccination PNAS 118, no. 33 (2021)
Ritu Agarwal, Michelle Dugas, Jui Ramaprasad, Junjie Luo, Gujie Li, and Guodong (Gordon) Gao - • Field Embedding: A Unified Grain Based Framework for Word Representation NAACL, 1754-1762 (2021)
Junjie Luo, Xi Chen, Jichao Sun, Yuejia Xiang, Ningyu Zhang and Xiang Wan
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
Talks and Teaching
- 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'2024 -
2024.5
Junjie Luo, Abhimanyu Kumbara, Anand Lyer, 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 -
2023.5
Junjie Luo, Aishwarya Shukla, Jie Mein Goh, Guodong (Gordon) Gao, Ritu Agarawl. Relationships Between Patient Satisfaction and Physician Overprescription: Evidence from Online Reviews and CMS Claim Data.
Production and Operations Management Society'2023 -
2022.11
Junjie Luo, Casey Kindall, Sara-Laure Faraji, Guodong (Gordon) Gao, Ritu Agarawl, 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 -
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 - TEACHING
- 2025 SpringAI Essentials for Business, Johns Hopkins University
Role: Lecturer - 2024 FallClinical Data Analysis with Python, Johns Hopkins University
Role: Teaching Assistant - 2024 FallAI Essentials for Business, Johns Hopkins University
Role: AI Tech Lead - 2024 SpringBig Data Machine Learning, Johns Hopkins University
Role: AI Tech Lead - 2021 SummerAI Leadership in Healthcare Exec Ed program, University of Maryland
Role: Head of AI Specialists
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)
- • Children's National Hospital (Pediatric Healthcare)
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
