EMNLP 2022
Speakers
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Keynote Speakers
Azza Abouzied’s research work focuses on designing intuitive data querying tools. Today's technologies are helping people collect and produce data at phenomenal rates. Despite the abundance of data, it remains largely inaccessible due to the skill required to explore, query and analyze it in a non-trivial fashion. While many users know exactly what they are looking for, they have trouble expressing sophisticated queries in interfaces that require knowledge of a programming language or a query language. Azza designs novel interfaces, such as example-driven query tools, that simplify data querying and analysis. Her research work combines techniques from various research fields such as UI-design, machine learning, and databases. Azza Abouzied received her doctoral degree from Yale in 2013. She spent a year as a visiting scholar at UC Berkeley. She is also one of the co-founders of Hadapt – a Big Data analytics platform.
Saleema Amershi is a Senior Principal Research Manager at Microsoft Research where she leads the Human-AI eXperiences (HAX) team, building tools for creating responsible AI experiences. She also currently chairs Microsoft’s Aether Working Group on Human-AI Interaction and Collaboration. Aether is Microsoft’s advisory committee on responsible and ethical AI.
Saleema holds a PhD in Computer Science & Engineering from the Paul G. Allen School of Computer Science & Engineering. Prior to UW, she completed a MSc in Computer Science and a BSc in Computer Science & Mathematics at the University of British Columbia.
Invited Speakers
Yannis Katsis is a Research Staff Member in the Scalable Knowledge Intelligence group at the IBM Almaden Research Center. His research interests focus on discovering, analyzing, and managing knowledge that can be extracted from both structured and unstructured data. This includes data integration, analytics, and visualization, as well as information extraction.
Yannis holds a PhD in Computer Science from the University of California, San Diego carried out under the supervision of Alin Deutsch and Yannis Papakonstantinou. Before obtaining his PhD, Yannis received an MSc in Computer Science from the University of California, San Diego and a BSc in Computer Science from the Athens University of Economics and Business.
Amy X. Zhang is an assistant professor at University of Washington's Allen School of Computer Science and Engineering. Previously, she was a 2019-20 postdoctoral researcher at Stanford University's Computer Science Department after completing her Ph.D. at MIT CSAIL in 2019, where she received the George Sprowls Best Ph.D. Thesis Award at MIT in computer science. During her Ph.D., she was an affiliate and 2018-19 Fellow at the Berkman Klein Center at Harvard University, a Google Ph.D. Fellow, and an NSF Graduate Research Fellow. Her work has received a best paper award at ACM CSCW, a best paper honorable mention award at ACM CHI, and has been profiled on BBC's Click television program, CBC radio, and featured in articles by ABC News, The Verge, New Scientist, and Poynter. She is a founding member of the Credibility Coalition, a group dedicated to research and standards for information credibility online. She has interned at Microsoft Research and Google Research. She received an M.Phil. in Computer Science at the University of Cambridge on a Gates Fellowship and a B.S. in Computer Science at Rutgers University, where she was captain of the Division I Women's tennis team.