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Computation Track Tutoring

Need extra support with your EECS coursework? Weinberg can help with that! We’re glad to be able to provide a free EECS tutor for CogSci Computation Track students (or students who are planning to declare the CogSci Computation Track). The Computation Track 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 EECS 183, 203, 280, and 281. 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 Cog Sci 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