Peyrin Kao

Peyrin Kao is a Lecturer in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. With dual expertise in Computer Science and Data Science, Kao teaches multiple core undergraduate courses including Data Structures (CS 61B), Introduction to Artificial Intelligence (CS 188), Computer Security (CS 161), and Introduction to the Internet: Architecture and Protocols (CS 168).

Education

• 2022: M.S. in Electrical Engineering and Computer Science, UC Berkeley
• 2021: B.A. in Computer Science, UC Berkeley
• 2021: B.A. in Data Science, UC Berkeley

Research and Teaching Focus

Kao's primary professional focus is on computer science education, with significant contributions to course development across multiple domains. Their work emphasizes accessibility, clarity, and practical application of complex concepts. The teaching approach integrates theoretical foundations with hands-on implementation, particularly evident in courses like CS 161 where security concepts are paired with practical vulnerabilities and mitigations.

Course development projects span data structures, artificial intelligence, computer security, and networking, with particular emphasis on making technical material approachable while maintaining academic rigor. Recent work includes complete course textbooks and comprehensive lecture redesigns that address both content delivery and accessibility concerns.

Course Development Highlights

• 2024: CS 168 lecture slide redesign and textbook creation
• 2023: New machine learning lectures for CS 188 (lectures 23-25)
• 2022: Master's thesis on accessible remote exams during the pandemic
• 2021: CS 161 lecture slide redesign with accessibility focus
• 2021: CS 161 textbook development

Teaching and Mentorship

Kao has steadily progressed through teaching roles at Berkeley since 2018, demonstrating strong performance and recognition within the department. Current teaching responsibilities include multiple large-enrollment courses that serve as core requirements for computer science majors. The teaching approach emphasizes practical application, accessibility, and comprehensive coverage of material, with co-instruction roles alongside notable Berkeley faculty members including Dan Garcia, Sylvia Ratnasamy, and Raluca Popa.