I received my Ph.D., M.S., and my B.Phil degrees from the University of Pittsburgh.
My work as a graduate student focused on language processing within- and across-languages. My dissertation focused on meaning ambiguity within and across languages and how ambiguity and meaning similarity affects the learning process. For example, was it easier to learn that the new meaning of ‘Tweet’ related to a short message sent on Twitter or that ‘the cloud’ now also refers to a communications network?
I am currently working at Amazon as a Sr. Language Data Researcher where I analyze voice accuracy data from Alexa devices. I’ve learned more about voice assistant technologies using automatic speech recognition (ASR), natural language understanding (NLU), and text-to-speech (TTS) machine learning models.
In my free time I enjoy spending time with my two dogs, playing music (clarinet and saxophone), getting out into nature, listening to a book or podcast, and learning more about my new city Seattle.