Cecelia Crandall was drawn to the cognitive science major by her interest in artificial intelligence. Through the program, she has gained a deeper understanding of how learning occurs in both humans and complex computer systems. She has expanded this interest by contributing to research projects on campus.
Double majoring in cognitive science and computer science was a natural choice for Crandall. The combination of psychology and technical coursework keeps her studies engaging while providing a manageable balance. Her cognitive science classes have also transformed the way she understands large language models (LLMs). Courses such as PSYCH 242: Language and the Human Mind, have helped her connect the ways humans learn and interpret language with the processes used by computer models. Whether through research or classroom learning, Crandall now approaches LLMs from a broader, interdisciplinary perspective.
For students considering the computation track or a double major in computer science, Crandall emphasizes the many resources available to support them, including cognitive science computation tutors and peer advisors. She describes the field as exciting and constantly evolving, encouraging students to remain open-minded as their perspectives on artificial intelligence continue to change.
Outside the classroom, Crandall joined organizations such as Phi Rho and M-HEAL to connect with peers in science, technology, engineering, and mathematics (STEM) fields who share her interest in applying technical skills to real-world challenges. Her involvement in these organizations, along with her work as a peer advisor, has helped her clarify her career goals and recognize the wide range of opportunities available through her majors.
These experiences have also strengthened Crandall’s understanding of leadership and collaboration. By participating in multiple STEM-focused communities, she has learned to approach human-centered problems with a technology-oriented skill set. She has also become a more effective collaborator—ready to listen to feedback, learn from others, and work alongside her peers to make meaningful progress.
