Prospective Students

My home department is the School of Information, and I am cross-listed (i.e. can supervise graduate students) in Computer Science and Linguistics.

I am a member of the Computational Language Understanding Lab (CLULAB) at the University of Arizona.

Prospective Students

PhD students: I take on new PhD students based on funding availability. It is important that students have strong computational skills (equivalent to an undergraduate degree in computer science), and clear overlap with my research interests.

Students already at the University of Arizona: There are often projects in the lab suitable for undergraduate or masters theses, independent studies, or graduate directed research projects. Projects can be across disciplines (computer science, linguistics, cognition, electrical engineering, etc). Students should be able to devote at least 10 hours a week.

Please get in touch if you’d like to discuss potential projects. The most helpful e-mails are short/concise, and include:

  • What your specific research interests are.
  • How your research interests relate to mine (ideally with reference to specific papers I’ve published, and what you find interesting about them).
  • Your CV, and (more importantly) demonstrated experience, which usually takes the form of a portfolio (e.g. as simple as Github links) to projects you have worked on and completed.
  • Relevant NLP/ML coursework you have taken
  • Any publications you may have co-authored (most relevant for PhD applications)
  • What skills, experience, and research products you would like to get out of the experience.
  • What specific recruitment you’re looking for — e.g. PhD advisor, Masters/Undergrad Thesis/Capstone, Independent Study/Coursework, Lab Volunteer, Funded/Unfunded.
  • If you have some idea of one or more specific project(s) you’d like to work on, a description of what you’d like to do, and why.
  • Start the subject line of your e-mail with the token [BANANA], so that I know you’ve read this website.