Dong Si, founding editor-in-chief of the Journal of Biomedicine and Big Data
Open Access Lance Limited has appointed Dr. Dong Si, associate professor in the School of STEM’s Department of Computing & Software Systems, as the founding editor-in-chief of the Journal of Biomedicine and Big Data.
Si’s research has included artificial intelligence, computational data science, and biomedical and health informatics. His work has been published and highlighted in PNAS, Nature, Nature Methods, Nature Computational Science, WIREs, BIB, eLife and other venues.
Si is the director of the Data Analysis & Intelligent Systems (DAIS) group and also an eScience (Data Science) institute-affiliated professor at the University of Washington. He is an advocate of community engagement, diversity, equity and inclusion. He is interested in promoting the early engagement of diverse students (especially women and underrepresented students) in artificial intelligence, computational data science, and biomedical and health informatics fields by introducing interdisciplinary studies and inspiring students to pursue advanced STEM education and research careers.
Check out the welcome post on Open Access Lance.
“Serving as the founding editor-in-chief of the Journal of Biomedicine and Big Data is both an honor and an exciting opportunity to help shape an emerging interdisciplinary research area at the intersection of artificial intelligence, computational data science, and biomedicine,” Si said. “As AI and large-scale biomedical data continue to transform healthcare and life sciences, there is a growing need for venues that promote rigorous, innovative, and translational research connecting computational methods with real-world biomedical and health applications. I see this role as an opportunity to help foster a collaborative research community spanning computer science, data science, biology, medicine, and public health.”
According to Si, the role involves guiding the journal’s scientific vision, establishing high standards for peer review and research quality, and working with an international editorial board to identify impactful emerging directions in the field.
“One of my goals is to help build a platform that encourages interdisciplinary collaboration and supports both methodological advances and practical biomedical applications,” Si said.
“This appointment also reflects the growing strength of AI and computational biomedical research at UW Bothell. Much of my own research in the Data Analysis & Intelligent Systems (DAIS) Group focuses on AI-driven modeling for structural biology, intelligent healthcare systems, and data-centric machine learning for biomedical discovery. I hope this role will further strengthen opportunities for research collaboration, student involvement, and visibility for UW Bothell in the rapidly evolving field of AI for biomedicine and health.”
Congratulations, Dr. Si! We look forward to the innovative and impactful research that will emerge under your leadership.