- Majoring and Minoring in Linguistics
- Advising
- Linguistics Peer Mentors
- Linguistics Courses
- Cognate Courses
- Independent Study
- Honors
- Linguistics Club
- Pre-Speech & Hearing Club
- Undergraduate Research
- Funding and Awards Opportunities
- Transfer Students
- Transfer Credit
- Planning Your Career
- Commencement and Graduation
- Study Abroad
- Computational Tutoring
Our computational linguistics tutors play an integral role in supporting and engaging current and prospective linguistics students. Computational linguistics tutors lead one-on-one tutoring sessions for students who are studying the same or similar material in the areas of C++ and Python programming, machine learning, and human computer interaction. The computational linguistics tutor is not an IA and won’t have access to the auto-grader, but can provide support with conceptual questions, study strategies, and more for classes such as LING 123, 125, 321, 341, 343, 441, 442 and 445. Please email ling.cogsci.comp.tutoring@umich.edu for any questions or concerns!
All appointments are virtual. Sign up below!
Meet Julia!
Computational Tutor for 2026-2027
Pronouns: She/Her
Why Cog Sci: I absolutely love how interdisciplinary Cognitive Science is. It allows me to explore my interests in Linguistics, Psychology, and Computer Science together, giving me such a unique perspective on anything from reading research papers to fixing issues in code.
Additional majors: Computer Science, Psychology
Experiences: Research Assistant for the Computational Neurolinguistics Lab, Phi Sigma Rho (STEM Sorority)
More about Julia: I love traveling, photography, and going to concerts!
List of Computational Classes:
COGSCI 446: Cognitive Science & Generative AI
DIGITAL 333: Video Games & Learning
EECS 281: Data Structures & Algorithms
EECS 376: Foundations of Computer Science
EECS 398: Practical Data Science (Special Topics)
LING 441: Intro to Computational Linguistics
Meet Caitlin Berry!
Computational Tutor for 2026-2027
Pronouns: She/Her
Why Cog Sci: I love how interdisciplinary Cog Sci is and how it lets me combine my interests in computer science, psychology, and AI. I especially enjoy learning about how technology and computation can be used to better understand the way people think and communicate.
Addtional Majors/Minors: Computer Science Minor
Experiences: Co-President of the Cognitive Science Community, Software Development Intern, EECS 183 Grader, Joy of Coding Coach, and various AI, machine learning, and NLP projects through Cog Sci coursework.
Hopes after graduation: Work in software development, AI, or another technology-focused role where I can combine my interests in computer science and cognitive science.
More about Caitlin: I love traveling, live music, and going out with friends!
List of Computational Classes:
COGSCI 321: How ChatGPT Works
COGSCI 445: Machine Learning for Natural Language Processing
COGSCI 446: Generative AI & Cognitive Science
EECS 281: Data Structure and Algorithms
LING 441: Introduction to Computational Linguistics
Meet Cecelia Crandall
Computational Tutor for 2026-2027
Pronouns: She/Her
Why Cog Sci: Cognitive Science and Computer Science blend together nicely especially with courses/topics focused on Machine Learning and AI, which is very interesting to me!
Additional major: Computer Science
Experiences: Research assistant for labs in Michigan Medicine and the Department of Psychology. Phi Sigma Rho (STEM Sorority), Michigan Health Engineered (MHEAL), Aix en Provence Study Abroad summer program.
More about Cece: Enthusiastic about book clubs, fuzzy dogs and donating blood. Attempting to get more into running, looking for advice/new running routes/strategies!
List of Computational Classes:
EECS 281: Data Structures and Algorithims
LING 441: Intro to Computational Linguistics
