Dan Liebling

I work on conversational, human speech recognition and machine translation at Google AI in Seattle.

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At Microsoft Research I worked several topic areas roughly centered on modeling user context to improve search or other information work experiences.

Personal microtasking (with Jaime Teevan, Shamsi Iqbal, Kristina Toutanova, Walter Lasecki, et al.)
Contextual search (with Susan Dumais, Paul N. Bennett, Ryen W. White, et al.)
Eye tracking as input (with Shane Williams, Susan Dumais, et al.)

You can view my academic contributions on Google Scholar.

I follow Local Brainstorm, Open Seattle, and Seattle Data for Good
Our #bikeraxx project to sense bike rack use on buses won honorable mention at Hack the Commute
Our Court Whisperer project to enable mobile legal form filling won the Social Justice Hackathon
Nimby Ninja is a low-barrier way for YIMBYs to refute NIMBY public comments (work in progress)