Hi! Welcome to my personal site. I am a postdoctoral fellow in the Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL) at McMaster University in Ontario, Canada.
My research investigates the language development of English language learners who are enrolled in an academic bridging program. You you can find my latest work below.
PhD in Cognitive Science of Language, 2016
McMaster University, Canada
MSc in Developmental Linguistics, 2011
University of Edinburgh, UK
BA in English Language and Linguistics, 2010
York St. John University, UK
These projects are currently under peer review or have recently been published
Many words in English are morphologically complex (assign-ment, teach-er) and so being able to proficiently apply the correct endings (suffixes) to complex words is an important skill to acquire. In this project we analyzed the written production of English language learners and asked What kinds of morphologically complex words are the most difficult for EFL students to learn?
This technical report assessed the change in English language skills of 340 EFL students enrolled in a university bridging program. This report used of the Reliable Change Index Statistic in order to test if the change in scores is greater than might would be expected from random variation alone. The report is available on ResearchGate.
Does your incoming reading skill give you a developmental advantage in an academic English bridging program? This longitudinal eye-movement study of over 400 EFL students showed that if you enter a bridging program with stronger English reading proficiency, you may have a head start in your reading fluency and reading comprehension. However, students of all incoming reading ability levels develop reading fluency and comprehension at the same rate.
I have taught the following university-level courses at McMaster University:
(2017, 2019, 2020, 2021). An introductory course to statistical methods custom-tailored to the needs of language researchers. This course provides an introduction to R, a free software environment for statistical computing and graphics.
(2018, 2020).This course studies computational tools and techniques of language processing using large electronic collections of texts. Students are trained in basic text-processing, statistical and programming skills using R.
(2017). This course offers senior undergraduate students the opportunity to participate in a learning-centred leadership program, involving peer-to-peer mentoring of students in the MELD program. The course provides up-front and on-going training and development in active leadership and mentorship.
I supervised the undergraduate research thesis of Shaina Benjamin.
R, Shiny, ggplot, Markdown
LMER, longitudinal analysis, growth curve modeling
Programming: EyeLink, Psychopy, Java, DMDX; Platforms: Pavlovia, Inquisit, GitLab, Amazon Turk, DMDX