ChengXiang Zhai (http://czhai.cs.illinois.edu) is a Donald Biggar Willett Professor in Engineering of Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC), where he also holds a joint appointment at Carl R. Woese Institute for Genomic Biology, Department of Statistics, and School of Information Sciences. His research interests include intelligent information retrieval, text mining, natural language processing, machine learning, and their applications. He has published over 300 papers in these areas. He has two MOOCs on Coursera on Information Retrieval (IR) and Text Mining, respectively. He has given many tutorials, including a tutorial on Statistical Language Models for IR at HLT-NAACL’04, SIGIR’05, SIGIR’06, and HLT-NAACL’07, a tutorial on Axiomatic Analysis and Optimization of IR Models at ICTIR’13 and SIGIR’14, a handson tutorial on MeTA Toolkit for Text Retrieval and Mining at KDD’17, a tutorial on Probabilistic Topic Models for Text Data Retrieval and Analysis at SIGIR’17 and SIGIR’18, and a tutorial on Interactive Information Retrieval: Models, Algorithms, and Evaluation at SIGIR’20. He served as Associate Editors for major journals in multiple areas including information retrieval (ACM TOIS, IPM), data mining (ACM TKDD), and medical informatics (BMC MIDM), Program Co-Chairs of NAACL HLT’07, SIGIR’09, and WWW’15, and Conference Co-Chairs of CIKM’16, WSDM’18, and IEEE BigData’20. He is an ACM Fellow and a member of the ACM SIGIR Academy. He received a number of awards, including ACM SIGIR Test of Time Award (three times), the 2004 Presidential Early Career Award for Scientists and Engineers (PECASE), an Alfred P. Sloan Research Fellowship, IBM Faculty Award, HP Innovation Research Award, Microsoft Beyond Search Research Award, UIUC Rose Award for Teaching Excellence, and UIUC Campus Award for Excellence in Graduate Student Mentoring. He has graduated 36 PhD students and over 50 master students.