Daniel M. Bikel is a Research Scientist at Google AI, where his work focusses on natural language processing (NLP), leading efforts to use NLP and machine learning to help people write documents. From 1994 to 1997, he worked at BBN Technologies on NLP problems, including development of the first high-accuracy, machine learning-based name-finder. From 2004 through 2010, he was a Research Staff Member at IBM Research, working on parsing, semantic role labeling, information extraction, machine translation and question answering. From 2010 to May 2015, Dr. Bikel worked on NLP and speech processing research at Google, building dynamic adaptation of language models for automatic YouTube captioning and a generic framework for reranking, and was a founding member of the team that built the semantic parser behind Google Now (since renamed Google Assistant). From 2015-2017, Dr. Bikel was Principal NLP Scientist & Senior Manager at LinkedIn, where he built and led a team of NLP researchers and engineers, developing text processing methods and models, including deep learning approaches specific to LinkedIn's problem areas. He has published numerous peer-reviewed papers in leading conference proceedings and journals, and built software tools in widespread use in the NLP community. He co-edited the book "Multilingual Natural Language Processing Applications: From Theory to Practice", published by IBM Press/Pearson in 2012. Dr. Bikel graduated with honors from Harvard in 1993 with a degree in Classics-Ancient Greek and Latin and received M.S. and Ph.D. degrees in computer science from the University of Pennsylvania in 2000 and 2004 respectively, discovering new properties of statistical parsing algorithms.