Susan Dumais is a Technical Fellow at Microsoft, Director of the Microsoft Research Labs in New England, New York City and Montréal, and an adjunct professor at the University of Washington. Prior to joining Microsoft, she was a Member of Technical Staff at Bell Labs where she developed Latent Semantic Analysis, an early word embedding technique for search.  Her current research focuses on personalization, email search, and large-scale behavioral log analysis.

She has worked with several Microsoft product groups (Bing, Windows Search, SharePoint, and Office Help) on search-related innovations, and holds several patents on novel retrieval algorithms and interfaces.  Susan has published widely in the fields of information retrieval, human-computer interaction, and cognitive science.   She is an ACM Fellow, was elected to the CHI Academy, the SIGIR Academy, the National Academy of Engineering (NAE) and the American Academy of Arts and Sciences (AAAS), and received the SIGIR Gerard Salton Award for lifetime achievement in information retrieval, the ACM Athena Lecturer Award for fundamental contributions to computer science, the Tony Kent Strix Award for outstanding contributions to information retrieval, the ACM SIGCHI Lifetime Research Award for lifetime achievement in human-computer interaction, and the Lifetime Achievement Award from Indiana University Department of Psychological and Brain Science.

Professor Jimmy Lin holds the David R. Cheriton Chair in the David R. Cheriton School of Computer Science at the University of Waterloo. Lin's research aims to build tools that help users make sense of large amounts of data. His work mostly lies at the intersection of information retrieval and natural language processing, with a focus on data-driven approaches and infrastructure issues. Although most of Lin's work deals with text, he's also worked on relational data, semi-structured data, log data, speech, and graphs. From 2010-2012, Lin spent an extended sabbatical at Twitter, where he worked on services designed to connect users with relevant content and analytics infrastructure to support data science. He currently serves as the Chief Scientist of RSVP.ai, a Waterloo-based startup that aims to build deep natural language understanding technologies to facilitate seamless dialogues between users and systems.

Luke Zettlemoyer is a Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, and a Research Scientist at Facebook. His research focuses on empirical methods for natural language semantics, and involves designing machine learning algorithms, introducing new tasks and datasets, and, most recently, studying how to best develop self-supervision signals for pre-training. Honors include multiple paper awards, a PECASE award, and an Allen Distinguished Investigator Award. Luke received his PhD from MIT and was a postdoc at the University of Edinburgh.

Mark Sanderson is Professor of Information Retrieval at RMIT University where he is head of the RMIT Information Retrieval (IR) group. Mark received his Ph.D. in Computer Science from the University of Glasgow, United Kingdom, in 1997. He has raised over $10 million dollars in grant income, published hundreds of papers, and has over 9,000 citations to his work. He has 25 current and/or past PhD students. In collaboration with one student, Mark was the first show the value of snippets, a component of search interfaces which are now a standard feature of all search engines. One of Mark's papers was given an honourable mention at SIGIR's 2017 test of time awards. Mark has been co-editor of Foundations and Trends in Information Retrieval; associate editor of IEEE TKDE, ACM TOIS, ACM TWeb, and IP&M; and served on the editorial boards of IRJ and JASIST. Mark was general chair of ACM SIGIR in 2004. He was a PC chair of ACM SIGIR 2009 & 2012; and ACM CIKM 2017. Prof Sanderson is also a visiting professor at NII in Tokyo.

Maarten de Rijke is University Professor of Artificial Intelligence and Information Retrieval at the University of Amsterdam. He is also VP Personalization and Relevance and Senior Research Fellow at Ahold Delhaize. His research strives to build intelligent technology to connect people to information. His team pushes the frontiers of search engines, recommender systems and conversational assistants. They also investigate the influence of the technology they develop on society. De Rijke is the director of the Innovation Center for Artificial Intelligence.

Mounia Lalmas is a Director of Research at Spotify, and the Head of Tech Research in Personalization. Mounia also holds an honorary professorship at University College London. Before that, she was a Director of Research at Yahoo, where she led a team of researchers working on advertising quality for Gemini, Yahoo's native advertising platform. She also worked with various teams at Yahoo on topics related to user engagement in the context of news, search, and user generated content. Prior to this, she held a Microsoft Research/RAEng Research Chair at the School of Computing Science, University of Glasgow. Before that, she was Professor of Information Retrieval at the Department of Computer Science at Queen Mary, University of London. Her work focuses on studying user engagement in areas such as native advertising, digital media, social media, search, and now audio. She has given numerous talks and tutorials on these and related topics, including a WWW 2019 tutorial on 'Online User Engagement: Metrics and Optimization', which will also be given at KDD 2020. She is regularly a senior programme committee member at conferences such as WSDM, KDD, WWW and SIGIR. She was co-programme chair for SIGIR 2015, WWW 2018 and WSDM 2020. She is also the co-author of a book written as the outcome of her WWW 2013 tutorial on 'measuring user engagement.