I’m a PhD student (all but dissertation) in the Cognitive Science department at UCSD. My research focuses on language acquisition and the role of the environment in word learning. In one line of studies, I use detailed analysis of video recordings investigate how parents’ speech is integrated with infants’ visual and manual exploration of their environment. In another set of studies, I use the large-scale usage patterns of individual words in corpora of child-directed speech to predict and explain the typical structure of children’s vocabulary.

My research has involved a range of interesting statistical and analytic problems. These include experience with regression and generalized linear models, support vector machines, particle filters, natural language processing and distributional semantic word embeddings, clustering, bootstrapping, and more. I believe that creative, yet careful data analysis of real-world data is an underrated source of research insights, and I look forward to engaging with a variety of hard problems in the future. I code proficiently in Python and R, and have rusty experience using C, Java, MATLAB, SQL, and Tableau.

Outside of work, my interests include learning foreign languages, cooking, and pub trivia. My Erdős–Bacon number is 7, and my lifetime income from juggling is (so far) $100.