Fotis Sotiropoulos, Dean of the College of Engineering and Applied Sciences, along with an interdisciplinary team from CEAS, represented Stony Brook University at the first Cheeloo Conference on Computational Medicine and Big Data in Jinan, China — a global US-China research partnership between the University and other partners, and the Jinan Supercomputer Center. The conference was organized by Professor Yuefan Deng from the Department of Applied Mathematics and Statistics, together with colleagues from across CEAS.
This international conference was designed to identify critical problems and propose leading solutions and time-wise milestones, leveraging the most advanced supercomputer methods to biomedical research, healthcare, and massive analysis on intensive data. The conference attracted more than 300 attendees and two dozen distinguished speakers from Harvard, MIT, Brown, IBM, Tsinghua, Chinese Academy of Sciences, National Supercomputer Centers, University Auckland, and more.
Dean Sotiropoulos opened the conference by addressing the rapid advances in multi-scale and multi-physics computational algorithms — bridging the scales from cells to organs to organisms and enabling in silico models of the human body. This, combined with exponential growth in computing power, big data, machine learning and medical imaging, are converging to create a “perfect storm” to transform medical research, healthcare delivery and personalized medicine.
During the past five years, the collaboration between Stony Brook University and the National Supercomputer Center in Jinan has been expanding from individual visits to joint projects to sharing the best resources, including supercomputing power and advanced algorithms as well as exchanges of students and junior faculty members.
Professor Danny Bluestein from the Department of Biomedical Engineering presented the latest results of this collaboration on multi-scale modeling of platelet activation and aggregation, which he, Professor Deng and their students have conducted using the Jinan Shenwei Supercomputers.