Dan Liebling
Dan Liebling (he/him) creates experiences that advance scientific research by integrating AI and academic knowledge. He joined the Science AI team in 2022 after five years of building and leading a research and engineering team focused on speech-to-speech translation experiences. His work at Google Research brings a human-computer interaction (HCI) lens to language-focused disciplines such as academic writing, speech recognition, and machine translation research. Prior to working at Google, he worked on information retrieval and human HCI research at Microsoft Research.
MS, Computer Science and Engineering, University of Washington
BS, Engineering and Applied Science, Caltech
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Authored Publications
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Google
Three Directions for the Design of Human-Centered Machine Translation
Samantha Robertson
Wesley Deng
Timnit Gebru
Margaret Mitchell
Samy Bengio
Niloufar Salehi
(2021)
Unmet Needs and Opportunities for Mobile Translation AI
Abigail Evans
Aaron Michael Donsbach
Boris Smus
Jess Scon Holbrook
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20), ACM, Honolulu, Hawaii, USA
