Dan Liebling, MS
BS ’02
Staff Engineering Manager at Google Research
Dan Liebling researches how humans interact with AI systems. He works on the Google Research Science AI team developing models and interfaces for unlocking scientific knowledge. Prior to joining Google, Dan worked on human-computer interaction and search engines at Microsoft Research. He is the co-author of over 40 publications and 15 patents.
Dan holds a M.S. in Computer Science and Engineering from the Paul G. Allen School of Computer Science at University of Washington and a B.S. in Engineering and Applied Science from Caltech, where he studied computational neuroscience.