I am a PhD. Candidate in French Linguistics in the Department of French & Italian at the University of Texas at Austin. I am interested in questions pertaining to phonological variation, sociolinguistics, corpus phonology, and cognitive science. My research program seeks to address issues of phonological variation through the use of corpora, machine learning, theoretical phonology, and cognitive science and to what extent sociolinguistics interfaces with what has traditionally been described as "free" variation.
With the generous support of a Bourse Chateaubriand, I began my dissertation project as a visiting researcher at the Laboratoire Modèles, Dynamiques, Corpus (MoDyCo) at Université Paris Nanterre in the Spring 2018, where I worked closely with Prof. Bernard Laks to conceptualize a definition of the French schwa or e-muet based on current and past theoretical research. My dissertation, supervised by Prof. Barbara Bullock, employs quantitative and machine learning tools to analyze corpus data from the PFC Corpus, ultimately working towards a redefinition of the e-muet purely in terms of its (morpho-)phonology and a better understanding of what phonological and sociolinguistic factors condition its realization.
At the University of Texas, I have taught all levels of French language as well as upper-division courses in French linguistics.