Junbai Wang

Junbai Wang is a Researcher at the University of Oslo's Department of Clinical Molecular Biology. He holds a PhD in theoretical and computational physics from the University of Bergen and has conducted postdoctoral research at the Norwegian Radium Hospital and Columbia University. His expertise spans bioinformatics, computational biology, and data mining, with a focus on developing advanced algorithms to address challenges in cancer biology and genetic regulation.

Key research interests include the design of computational tools for analyzing genomic data, such as chromatin architecture, regulatory mutations, and transcription factor interactions. Notable contributions include the BayesPI model for protein-DNA interactions and the IGAP pipeline for integrative genome analysis.

Wang has supervised multiple PhD and master’s students in bioinformatics and computational biology. His work frequently involves collaborations with biologists and clinicians, aiming to bridge computational methods with translational research in oncology. Recent publications highlight advancements in understanding 3D chromatin dynamics in breast cancer and regulatory mutations in lymphoma.

He is a member of the In Silico Study of Genome Regulation research group, emphasizing interdisciplinary approaches to decode gene regulation mechanisms. Collaborations span institutions like the Oslo University Hospital and NTNU, reflecting his commitment to collaborative, data-driven research.