Michael Riley has a B.S., M.S., and Ph.D. from MIT, all in computer science. He began his career at Bell Labs and AT&T Labs where he, together with Mehryar Mohri and Fernando Pereira, introduced and developed the theory and use of weighted finite-state transducers (WFSTs) in speech and language. He is currently a principal research scientist at Google, Inc. His interests include speech and natural language processing, machine learning, and information retrieval. He is a principal author of the OpenFst library and the AT&T FSM Library (TM). He manages a group with expertise that includes speech recognition, speech synthesis, computational linguistics, NLP, automata algorithms and machine learning. He is an IEEE and ISCA Fellow.