Hi, I’m Arya. I help researchers see the stories in numbers.
I am a second-year Ph.D. student in computer science (CS) at Johns Hopkins University, affiliated with the Center for Language and Speech Processing. I am advised by David Yarowsky, with whom I work on low-resource machine translation. My research interests are computational linguistics, morphology, and network science.
I completed my M.S. in CS, as well as a B.S. in CS and math, in my four years at SMU. I was a President’s Scholar, SMU’s highest academic scholarship. My thesis advisor was David Matula. My research with him involves applications of the hierarchical Maximum Concurrent Flow Problem for stable, mathematically motivated hierarchical clustering. I conducted additional work in ubiquitous computing, computational neuroscience, security, optics, and high-energy particle physics.
- 2018-10: I’ve had two submissions accepted to Complex Networks (ICCNA) 2018. See you at Cambridge!
- 2018-09: This semester, I’ll be a teaching assistant! My course is Natural Language Processing with Jason Eisner.
- 2018-08: I’ve had papers accepted at the Conference on Machine Translation (WMT) and the EMNLP Universal Dependencies Workshop (UDW). See you in Brussels!
- 2018-07: I’ll be at the SIAM Annual Meeting in Portland, presenting work on evaluation measures for clustering.
- 2018-06: This summer, I’m participating on the translation side of SCALE 2018.
- 2018-05: I’m attending MTMA 2018 at CMU, working on continued training of translation models.
In my spare time (hah), I enjoy:
- ballroom dancing
- biking—I have a 1982 Schwinn Le Tour that I maintain.
- learning languages through Duolingo (currently Romanian, rather unique among Romance tongues)
- reading xkcd—and now PHD Comics