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Yusu Wang obtained his PhD degree from Duke University in 2004 and completed a post-doctoral fellowship at Stanford University from 2004 to 2005. Before joining the Halıcıoğlu Data Science Institute at the University of California, San Diego, he was a Professor in the Department of Computer Science and Engineering at Ohio State University, where he co-directed the Foundations of Data Science Research Community of Practice at the Translational Data Analytics Institute from 2018 to 2020. His primary research interests lie in the field of geometric topological data analysis, where he develops effective, theoretically justified algorithms for data analysis, utilizing geometric and topological methods. Wang has also explored the integration of geometric and topological ideas within machine learning frameworks for contemporary data science applications. Throughout his career, he has received notable recognitions, including the PhD Dissertation Award from the Computer Science Department at Duke University, the Department of Energy Early Career Principal Investigator Award in 2006, and the NSF Career Award in 2008. Additionally, his work has been recognized with various paper awards, and he currently serves on editorial boards for several prestigious journals in computational geometry and related fields.
Halıcıoğlu Data Science Institute, UC San Diego • San Diego, CA, US
Leading research and teaching in data science with a focus on geometric topological data analysis.
Department of Computer Science and Engineering, Ohio State University • Columbus, OH, US
Co-directed the Foundations of Data Science Research Community of Practice at the Translational Data Analytics Institute.
Administered by the Scripps Institution of Oceanography. Curricular groups include Climate-Ocean-Atmosphere (COAP), Geosciences (GEO), and Ocean Biosciences (OBP).