معرفی
Ping Chen is a computational biologist and Principal Researcher at the Department of Laboratory Medicine, Karolinska Institutet, Sweden, and an Assistant Professor at the same department (2023–2024). He also leads a second lab at the Stem Cells and Metabolism Research Program, Faculty of Medicine, University of Helsinki, Finland (since 2023). His research integrates data science, immunometabolism, and RNA splicing in cardiometabolic diseases.
- Ph.D. in Medical Systems Biology from University of Helsinki (2016)
- Postdoctoral training in Smart-seq2/3 single-cell methodology (Rickard Sandberg Group) and immunometabolism (Myriam Aouadi Group), Karolinska Institutet
Chen’s research focuses on human obesity, non-alcoholic fatty liver disease (NAFLD), and diabetes, with a strong emphasis on AI-driven diagnostics and alternative splicing regulation. His lab employs single-cell RNA-seq, spatial transcriptomics, and multi-omics to dissect cellular and molecular disease mechanisms.
The 15 most recent articles highlight his work in:
- Immunometabolism in cardiometabolic diseases
- RNA splicing during obesity and diabetes
- Single-cell and spatial data analysis
- Machine learning for disease state prediction
- Non-invasive diagnostic model development
He has received grants from the Swedish Research Council, Research Council of Finland, Sigrid Jusélius Foundation, and iCAN Flagship. His lab co-supervises Ph.D. students and collaborates with multidisciplinary teams. Chen is also an Associate Editor of the Journal of Translational Medicine (2020–2024) and teaches bioinformatics and clinical chemistry courses.
