Jianwu Wang

Dr. Jianwu Wang is Professor of Data Science at UMBC, directing both the Center for Scalable Data and Computational Science and co-leading the NSF HDR Institute for Harnessing Data and Model Revolution in the Polar Regions. His interdisciplinary research develops scalable analytics for earth science, transportation, and IoT applications.

Wang's NSF CAREER award supports causal discovery methods for climate science applications. Current projects include Arctic sea ice forecasting, atmospheric gravity wave detection, and causal analysis of climate interactions. His lab creates deep learning frameworks for spatiotemporal data and reproducible cloud-based analytics.

With over 160 publications, Wang contributes to IEEE transactions and organizes workshops on big data in earth sciences. He teaches data science courses and mentors PhD students in distributed systems and machine learning applications.