PhD student in Computer Science at Johns Hopkins University, affiliated with the Center for Language and Speech Processing. Visiting researcher at the Center for Data Science at New York University.
Advisors: Tal Linzen and Mark Dredze.
Email: firstname.lastname@example.org, where x=amueller
I am interested in evaluating and improving the robustness of (multilingual) NLP systems. My work spans (causal) interpretability methods, pre-training and meta-learning methods, and evaluating the linguistic abilities and inductive biases of pre-trained language models. I'm supported in my PhD studies by a National Science Foundation (NSF) Graduate Research Fellowship.
I completed my B.S. in computer science and B.S. in linguistics at the University of Kentucky (UK), where I was a Gaines Fellow and Patterson Scholar. My thesis, which focused on neural machine translation for low-resource French dialects, was advised by Ramakanth Kavuluru and Mark Richard Lauersdorf.
Organizing the BabyLM Shared Task
Invited talks at Bar-Ilan University and the Technion
Presented a paper at CoNLL
Interned at Meta Research in Menlo Park
Presented two papers at ACL 2022 (one main conference, one in Findings)
Invited talk at the National Research Council of Canada
Joined NYU for the academic year as a visiting researcher
Presented a paper at ACL
Presented a paper at NAACL
Defended my thesis proposal! ABD!
Joined Amazon as an applied scientist for the summer
Invited talk at Google
Invited talk at Mila
In my (these-days limited) free time, I enjoy: