I'm just about to receive my Ph.D. from the department of Linguistics & Cognitive Science at the University of Delaware. I am also a Visiting Assistant Professor at Haverford College 2017-2018. My main interests are in adverbs, mathematical models of language, computational linguistics, typology, and finding employment.


  • Ph.D. Linguistics, University of Delaware (2011-2018)
    •       M.A. Linguistics, University of Delaware (Jan. 2013)
  • B.A. Linguistics, B.A. Mathematics, University of Southern California (2007-2011)


  • Current - Fall 2017:
    • Instructor for LING 101 (Intro to Linguistics) and LING 113 (Intro to Syntax), Haverford College
  • Previous courses taught:
    • CGSC 170 (Intro to Cognitive Science), LING 101 (Intro to Linguistics - Honors), LING/WOMS 222 (Language and Gender), UD
  • Previous courses TA'd:
    • ANTH 102 (Intro to Biological Anthropology), ANTH 106 (Intro to Anthropology of Health), LING/CGSC 496 (Psycholinguistics), UD
  • ongoing research projects

    • Adverb ordering:
      • My dissertation (forthcoming, so soon) focuses on the grammaticality of various orderings of multiple adverbs, including in wh- and focus constructions. The punchline is that adverbs are very different from adjectives, and have relatively free ordering (more free than Cinque 1999 predicts), but with a melange of syntactic and semantic constraints that make certain orders universally less acceptable.
    • The subsequential nature of dissimilation:
      • Phonology is computationally less complex than the regular region in the Chomsky hierarchy, even in long-distance dissimilations. I show that dissimilation patterns are all within the subsequential class of relations, and provide FST (finite state transducers) for each of the patterns in Suzuki and Bennett's dissimilation typologies.
    • Gender and acceptability judg(e)ments:
      • Amazon Mechanical Turk is a great way to collect grammaticality data from large populations, but large-scale data analysis shows that respondents who identify as female rate test sentences significantly higher than respondents who identify as male. Where does this hyper-acceptance come from, and how pervasive is it?