Summary
Jianwu Wang is a data science professor and NSF CAREER awardee who leads UMBC’s Big Data Analytics Lab and serves as Liaison for Research Innovation, combining deep academic rigor with applied work in climate and manufacturing. With a PhD from the Chinese Academy of Sciences and a career spanning UC San Diego, the San Diego Supercomputer Center, and international postdoctoral stints, he has published 110+ papers (h-index 21) and secured over $3.3M as PI from NSF, NASA, DOE, state and industry. His research blends Big Data analytics, scientific workflow automation, and distributed computing, and he helped advance Kepler—one of the most cited scientific workflow systems. Active in editorial and program roles across many journals and conferences, he also co-leads the NSF iHARP institute, bridging data/model innovation for polar science. Notably, he maintains a hands-on research profile while guiding cross-disciplinary teams to translate scalable workflow technologies into domain impact.
9 years of coding experience
21 years of employment as a software developer
BS, Computer Science and Technology, BS, Computer Science and Technology at Tianjin University
Ph.D., Computer Software., Ph.D., Computer Software. at Graduate University of the Chinese Academy of Sciences
Chinese, English