.png)
Intelligent Health Research Lab
Advancing data-driven public health and equitable clinical solutions
Welcome to IHR Lab
We conduct interdisciplinary research at the intersection of health informatics, artificial intelligence, public health, and implementation science to advance data-driven health solutions. Our work spans methodological innovation, applied research, and real-world deployment—producing scholarship that informs policy, clinical practice, and health system transformation.
Mission
Our mission is to design and rigorously evaluate responsible and innovative health informatics and artificial intelligence solutions that strengthen public health and healthcare systems.
Vision
Our vision is to lead the development and real-world implementation of explainable, trustworthy, and scientifically grounded health technologies that transform public health and healthcare delivery.
Research Areas
Artificial Intelligence and Machine Learning
Methodological and applied research in machine learning, large language models (LLMs), and natural language processing (NLP) for healthcare and public health, including model evaluation, explainability, fairness, and responsible AI.
Data Analytics and Processing
Development of scalable data infrastructures, analytics pipelines, and statistical methods for healthcare and population health research, leveraging electronic health records, real-world data, and multi-source datasets.
Digital Twins
Design and validation of data-driven digital twin models representing patients, populations, and health systems to support simulation studies, intervention evaluation, and policy-relevant decision-making.
Healthcare Research and Implementation
Translational research focused on healthcare delivery, clinical workflows, and implementation strategies to ensure that informatics and AI innovations are effectively adopted in real-world settings.
Scholarly Dissemination and Development
Commitment to high-quality peer-reviewed publications, open science practices, and the development of reusable tools, frameworks, and datasets that advance the broader research community.