Deloitte hosted seven faculty affiliates of the Smith Analytics Consortium for a meeting of the minds on Jan. 31, 2019, at the company’s Greenhouse in Washington, D.C.
Dr. Zhang worked as an assistant professor of information and decision science at University of Illinois, Chicago from 2013 to 2015, prior to moving to the Smith School. His research focuses on applying scalable machine learning, natural language processing, and social network analysis techniques on big data problems in business and healthcare. His work has been published in the business journals and computer science conferences. He has presented papers at the INFORMS conference, ICIS conference, and other CS conferences. He teaches Python program in the undergraduate program and big data analytics in the graduate program.
Company pages on social media sites like Facebook contain real-time information for brand managers hoping to gauge customer sentiment, but only if they know how to make sense of the raw data. New research from Smith School professors Kunpeng Zhang and Wendy W. Moe shows how to filter for bias, starting with a three-pronged test to identify and remove fake users. Read more...
Professor Zhang received his Ph.D. in Computer Science from the McCormick School of Engineering at Northwestern University in 2013.