University of Pittsburgh
Artificial Intelligence in Population Health Lab
Principal Investigator
Dr. Ye Ye
Assistant Professor of Biomedical Informatics
Ph.D. in Intelligent Systems, University of Pittsburgh, 2018
M.S. in Public Health Informatics, Emory University, 2011
M.S. in Epidemiology and Health Statistics, Peking University, 2009
B.Med. in Preventive Medicine, Peking University, 2006
Email: yey5@pitt.edu
Personal Website: https://www.dbmi.pitt.edu/directory/name/ye-ye/
Graduate Students
Yiming Sun
Yiming Sun is a PhD student in Electrical and Computer Engineering Department at University of Pittsburgh, and she completed her bachelor degree in Computer Science from University of Science and Technology of China in 2022. Her research interests revolve around machine learning and healthcare data analysis. She is conducting a comprehensive survey on heterogeneous transfer learning, which aims to explore the latest developments in the field. Besides, she is involved in a project that focuses on detecting multiple diseases simultaneously, including COVID-19, through Bayesian network models.
Email: yis108@pitt.edu
Yuelyu Ji
Yuelyu Ji is a Phd student in Information Science at University of Pittsburgh. She works on the transfer learning project and working on using a natural language process idea in the transfer learning project and has one paper about using transfer learning to predict the readmission of different hospitals in Pittsburgh. Her research interest is using natural language process models to solve real-world problems.
Email: yuj49@pitt.edu
John Song
John Song is a graduate student in Information Science at University of Pittsburgh. His expertise lies in coding, particularly in Java. In addition, he is also very interested in machine learning and currently taking a course on it. He is eager to apply his knowledge of machine learning in real-life projects.
Email: chs342@pitt.edu
Data Scientists
Yuhe Gao
Yuhe Gao received her B.S. in Geographic Information Science from the University of Cincinnati and East China Normal University (2+2 program) in 2020, and further achieved her M.S. in Information Science from the University of Pittsburgh in 2022. She is currently working as a data scientist in this lab and also in the Department of Biomedical Informatics. Her undergraduate studies focused on environmental quality, while her graduate studies delved into disease research. With the current and future experience working on various patient cohorts and EHR data, she is interested in combining her knowledge of GIS and biomedical informatics to improve the sensitivity of clinical data and develop insights at multiple levels, including the geographic level.
Email: yug51@pitt.edu
Collaborators
Dr. Michael J. Becich
Chairman and Distinguished University Professor, Department of Biomedical Informatics
Professor of Pathology, Information Sciences, Telecommunications and Clinical/Translational Sciences
Associate Vice Chancellor for Informatics in the Health Sciences
Director, Center for Commercial Application (CCA) of Healthcare Data
Associate Director for Cancer Institute (UPCI)
Associate Director, Clinical and Translational Science Institute (CTSI)
University of Pittsburgh School of Medicine
Research Interests: Translational Bioinformatics, Pathology Informatics, Oncology Informatics,
Tissue Banking Informatics, Research Resource Development, and Personalized Medicine
Email: becich@pitt.edu
Personal Website: https://www.dbmi.pitt.edu/directory/name/michael-becich/
Dr. Gregory F. Cooper
Distinguished Professor and UPMC Endowed Chair, Department of Biomedical Informatics
Vice Chair of Research, Department of Biomedical Informatics
Secondary appointments: Intelligent Systems Program, Computational and Systems Biology, and Pharmaceutical Sciences
Research Interests: Application of decision theory, probability theory, Bayesian statistics, and artificial intelligence
to biomedical informatics research problems, Causal modeling and discovery from clinical and omics data,
Computer-aided medical diagnosis and prediction,
Machine-learning approaches to improving patient safety, and Biosurveillance of disease outbreaks
Email: gfc@pitt.edu
Personal Website: https://www.dbmi.pitt.edu/directory/name/gregory-cooper/
Dr. Qi Li
Dr. Qi Li is an Assistant Professor in the School of Business, SUNY New Paltz. Her teaching focuses on Business Analytics, including Data Analysis, Data Visualization, and Database system. Before she jointed SUNY, she worked in Norther Kentucky University as a Data Science Program Associate Director, teaching Data Science sequential courses, including, Data Wrangling, Data Mining, Big Data, and Data Science Capstone. She also worked in Cincinnati Children's Hospital Medical Center as a researcher to study health care information. She graduated from University of Pittsburgh and studied on Information Science.
Email: liq11@newpaltz.edu
Personal Website: https://www2.newpaltz.edu/~liq11/
Administrator
Maria Ann Bond
Maria is an administrator in the Department of Biomedical Informatics. She is program manager for the National Retail Data Monitoring program. She manages administrative matters for several faculty in the department.
Email: bond@pitt.edu
Alumni
Dr. Jason Xiaotian Dou
Ph.D. in Computer Engineering, University of Pittsburgh. B.S. in Computer Science, Peking University.
Email: xid40@pitt.edu
website: jasondou.org.
Wentao Wu
Wentao Wu obtained his bachelor's degree with a major in Computer Science from the University of Pittsburgh.
Email: wew92@pitt.edu
Shengwen Ding
Shengwen Ding studied in Information Science at University of Pittsburgh. Her research projects are machine learning in healthcare cost, and Bayesian network transfer learning. Her research interests are machine learning, healthcare, data security and privacy.
Email: shd151@pitt.edu
Dr. Runxue Bao
Ph.D. in Electrical & Computer Engineering 2022, University of Pittsburgh
B.S. in Electronic Information Engineering 2017, University of Science and Technology of China
My research interests are machine learning, deep learning, large-scale optimization, recommender system, transfer learning, and self-supervised learning.
Personal Website: https://brx18.github.io/
Disheng Liu
Disheng obtained his master degree in Information Science at University of Pittsburgh in 2022. He worked in AI in Population Health lab from 2021 to 2022, focusing on transfer learning in the biomedical field. His personal research interests include heterogeneous transfer learning, machine learning fairness, and AI implementation in the industry.