William Wang is an assistant professor in the Department of Computer Science at the University of California, Santa Barbara. His involvement with CITS stems from his research interests in computational social science and the study of the dissemination of misinformation. He has broad interests in machine learning approaches to data science, including statistical relational learning, information extraction, computational social science, speech, and vision. William has over 40 papers in leading conferences and journals, with numerous best paper awards. An alumnus of Columbia University, he received his Ph.D. in Computer Science at Carnegie Mellon University. He has also garnered an IBM Faculty Award, and the Richard King Mellon Presidential Fellowship in 2011. He has also worked for Yahoo! Labs, Microsoft Research Redmond, and University of Southern California. In addition to research, William enjoys writing scientific articles that impact the broader online community: His microblog has more than 2,000,000 views each month, and his opinions have appeared in major outlets such as Wired, VICE, Fast Company, and Mental Floss.