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Wei Wang is a professor at the University of California, Los Angeles, where he leads research in Computational Medicine. He has a strong background in big data analytics, having developed scalable machine learning and data mining methods tailored to handle massive datasets across various applications. His current research interests include big data analytics, bioinformatics, computational biology, and database systems, focusing on the design of efficient algorithms for discovering and representing complex patterns in large-scale, heterogeneous data. As the founding Director of the UCLA Scalable Analytics Institute, Wang is integral to developing analytic methods and computational platforms for understanding genetic factors in diseases and disorders. He has collaborated with experts from diverse fields, including behavioral sciences, biostatistics, and proteomics. He has been recognized with several awards, including the National Science Foundation Faculty Early Career Development award and a Microsoft Research Faculty Fellowship. Wang holds a Ph.D. in Computer Science from UCLA and has also filed seven patents related to his work in analytics.
Department of Economics admits primarily for the PhD program.