Hui Li, PhD

Assistant Professor

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Department of Department of Bioinformatics and Systems Medicine

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Contact

[email protected]

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Hui Li, PhD joined McWilliam School of Biomedical Informatics in 2023 as an Assistant Professor in the Center for Translational AI Excellence and Applications in Medicine (TEAM-AI). Prior to joining UTHealth, Dr. Li worked in industry and led a scientific software team to develop informatics solutions to support biomedical discovery and clinical diagnostics, with a primary emphasis on identifying genetic biomarkers from "-omics" data as well as mining information from literature involving variants, genes, and diseases.

Dr. Li’s research focuses on big data and computing infrastructure for biomedical science and healthcare. Dr. Li has extensive expertise in designing comprehensive solution architecture, conducting meticulous business analyses, and adeptly managing full lifecycle project management. He will be leading the development of a learning precision medicine platform which will include informatics solutions for variant assessment in clinical diagnostic practices, living evidence synthesis, and data-driven clinical decision making leveraging multi-modality patient data.

• What research are you currently working on?
  My current research is focused on conducting living systematic reviews to gather real-world evidence for clinical practice.
• What does the future of your research look like?
  It will lead to automated systems that dynamically update clinical guidelines and recommendations based on real-time data analysis, thereby enhancing the quality of patient care. The integration of artificial intelligence (AI) and big data analytics has the potential to further improve clinical decision-making. I aim to focus on developing standardized protocols and frameworks to facilitate the seamless integration of patient data across diverse modalities and sources.
• What does the future of informatics look like?
  In the coming years, there will be an emphasis on aspects such as data collection, storage, management, analysis, and interpretation. AI and machine learning will further play their role within the realm of informatics, seamlessly integrating into its core.