“Stand on the shoulders of giants.”


Welcome to the laboratory. We are located in University of South Carolina Arnold School of Public Health. We are dedicated to seeking ways to a safe and intelligent health system. We apply principles from computer science and cognitive science to address research questions in clinical and translational medicine, and health care systems. Over the last few years, we have been developing biomedical informatics methods and applications that lead to a better understanding of electronic health data and Artificial Intelligence in medicine.

We have funded RA openings for PhD and master’s students


  • [Lab Members] Dr. Liang is elected to become a Fellow of American Medical Informatics Association (FAMIA). 10/2022
  • [Grants] We received an R21 (R21AI169139) entitled ‘Informatics Approach to Identification and Deep Phenotyping of PASC Cases’. Total cost of the project is $407k. See our story. 09/2022
  • [Lab Members] Welcome to Yuanzhen Yue, our Graduate Research Assistant and doctoral student of biostatistics. 09/2022
  • [Grants] We received an R21 (R21AI170171) from NIH/NIAID entiltled ‘Curating a Knowledge Base for Individuals with Coinfection of HIV and SARS-CoV-2: EHR-based Data Mining’. Total cost of the project is $408k. See our story. 07/2022
  • [Lab Members] Welcome to Dr. Nadia Ghumman, our Graduate Research Assistant. 03/2022
  • [Grants] We areceived $20k in funding from Prisma Health to identify predictive factors of ART discontinuation in AIDS patients using EHR clinical notes. 03/2022
  • [Lab Members] Welcome to Dr. Nadia Ghumman, our Graduate Research Assistant. 03/2022
  • [Lab Members] Welcome to Dylan Johnson and Zach Lewis, our Undergraduate Research Assistants. 09/2021
  • [Grants] We and our collaborators collectively received $105k in research grants for developing Data Science and Informatics methods to analyze COVID-19 EHR and consumer/patient-reported data. 07/2021
  • [Grants] We received $40k seed grants from Prisma Health for developing Deep Learning models to be used for EHR-based data mining and diagnosis. See our story 03/2021
  • [Lab Members] We welcome Manting Zhang, who is a biostatistics major graduate student in Nanjing Medical University and joined us as a research intern. 02/2021
  • [Lab Members] Tianchu was selected as a Junior Scholar (2020-2021) in the South Carolina SmartState Center for Health Care Quality. 08/2020
  • [Lab Members] We welcome Andrew Eidson joining the lab. Andrew is a medical student from the University of South Carolina School of Medicine. He will be working with us as a research intern in the Summer of 2020. 06/2020
  • [Media Coverage] We incorporated Machine Learning into Root Cause Analysis (RCA) to facilitate semi-automated detection of health system vulnerabilities from massive Patient Safety Event (PSE) reports. Our work is reported by Association of Schools & Programs of Public Health (ASPPH). 03/2020
  • [Lab members] We welcome new lab members in the Spring of 2020. Tianchu Lyu is a PhD student at Arnold School of Public Health. He will be working with us as a Graduate Research Assistant. Xiajie Zhou is a visiting student from Nanjing Medical University. 01/2020
  • [Media Coverage] Our paper Leveraging Patient Safety Research: Efforts Made Fifteen Years Since “To Err Is Human” is accepted by MedInfo 2019 at Lyon, France. This work is endorsed by AHRQ Patient Safety Network (PSNet) and Association of Schools & Programs of Public Health (ASPPH). 01/2020
  • [Lab] On August 19, 2019, we settled in the new home at Arnold School of Public Health, UofSC. See our story.