Experience
    Education
    Bio
    I am a research scientist at Google DeepMind. My research addresses the problem of natural language understanding in two aspects. First, I design better representation learners that exploit linguistic structure in the form of inductive bias (KDS '15; KRS '15). Second, I bring theoretical insights from machine learning to look for better algorithms that specifically utilize the linguistic cues in the data (KMLYY '19; KDLYDY '19).

    These methods advance applications for syntactic parsing (KAABW '17; KS '14), speech recognition (LKDSR '16), social media (KSSBDS '14), machine translation (FKHWHMQZ '18) and others.

    I received my Ph.D. from Carnegie Mellon University where I was co-advised by Professor Noah Smith and Professor Chris Dyer, as a member of Noah's ARK and clab. Prior to CMU, I worked for a year in IBM China.

    In the summer of 2016, I interned in Google Research in New York, working with Dr. David Weiss. In the spring of 2017, I interned in Google DeepMind in London, hosted by Dr. Stephen Clark.