I have a master’s degree in computational linguistics from the University of Washington, where I was advised by Fei Xia, and I’ve worked at organizations like Microsoft, Pacific Northwest National Laboratory (PNNL), and Maana, a data analytics startup.
My research is in natural language processing and machine learning. I’m interested in unsupervised and semi-supervised techniques, such as word embeddings and topic modeling. I study how these techniques can be used to explore new datasets, ranging from social media to literature to medical data. I’m especially interested in questions about narrative and semantic similarity.
September 2018: Attending the doctoral consortium at Text as Data
June 2018: Attending NAACL to present our TACL paper
Summer 2018: Interning at Microsoft Research with Project EmpowerMD
February 2018: Our paper Evaluating the Stability of Embedding-based Word Similarities has been published in TACL!
October 2017: Attending NovelTM in Montreal, Canada
Spring 2019: TA for INFO 3300: Data-driven Web Applications
Spring 2017: TA for INFO 3300: Data-driven Web Applications