Directory

This Directory includes Faculty, Staff, Students, and Alumni selectable by category, search or alphabetical by last name. Over 110 students have graduated from the Department of Biomedical Informatics (25+ PhD, 50+ MS, 25+ Certificate). The diversity of careers available to DBMI alumnus is evident in their biographies. Many of our graduates are teaching and performing research in academic institutions, such as Vanderbilt University, Arizona State University, and New York University while others have entered private industry with companies such as Cerner Corporation and Boston Scientific; some have positions in government agencies, such as the NIH and AHRQ, while others are at major medical centers, serving in roles such as Chief Medical Information Officer. We maintain a database of the career paths of our graduates. If you are an alumnus, please contact us if you would like to submit or update information!

Ye Ye

Adjunct Associate Professor
Publications: Google Scholar
Photo of Ye Ye

Biography

Dr. Ye Ye is an alumna of the University of Pittsburgh’s Department of Biomedical Informatics (DBMI) and Intelligent Systems Program, where she earned her PhD (2011–2018), completed postdoctoral training (2019–2022), and served as a tenure-track Assistant Professor (2022–2025). Since May 2025, she has been an Associate Professor at Southern University of Science and Technology (SUSTech) and continues to serve as Adjunct Faculty at both DBMI and the Clinical and Translational Science Institute (CTSI) at Pitt.

Her research focuses on developing and applying AI methods to support public health disease surveillance, patient risk prediction, healthcare utilization analysis, and population health management. She leads the AI for Population Health Lab (https://ai-in-population-health-lab.github.io/homePage/) and has received a K99/R00 award from the National Library of Medicine. Her work has been recognized by the American Medical Informatics Association (Doctoral Dissertation Award Finalist, 2019), IEEE ICHI (Best Paper Award, Analyst Track, 2024), the CDC (Best Statistical Science Theoretical Paper, 2014), and the University of Pittsburgh (Innovator Award, 2016). She serves on the editorial boards of Artificial Intelligence in Medicine (since 2017) and the Journal of Biomedical Informatics (since 2024) and is a member of the NIH MIDAS Steering Committee (since 2025).