Brief Introduction: David Chiang (PhD, University of Pennsylvania, 2004) is an associate professor in the Department of Computer Science and Engineering at the University of Notre Dame. His research is on computational models for learning human languages, particularly on connections between formal language theory and natural language, and on speech and language processing for low-resource, endangered, and historical languages. He is the recipient of best paper awards at ACL 2005 and NAACL HLT 2009, and a social impact award and outstanding paper award at ACL 2024. He has received research grants from DARPA, NSF, Google, and Amazon, has served on the executive board of NAACL and the editorial board of Computational Linguistics and JAIR, and is currently on the editorial board of Transactions of the ACL.