Dr. Lisa Yan

Assistant Professor

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Biography

Lisa Yan is an Assistant Teaching Professor in the Electrical Engineering and Computer Sciences (EECS) department at the University of California, Berkeley, starting in Spring 2022. Her current research interests focus on data analysis in student learning within large computer science and data science courses, as well as exploring computing ethics education and teaching assistant education. In her research, she has contributed to topics such as software-defined networking and the performance of network switches. Lisa has a strong academic background, holding a PhD in Electrical Engineering from Stanford University, as well as an MS and a BS in Electrical Engineering from Stanford University and UC Berkeley, respectively. She has presented her work at various prestigious venues, including the ACM Technical Symposium on Computer Science Education, focusing on innovative teaching methods and tools that enhance student engagement and success in computing disciplines.

Research Interests

Data Analysis Learning Sciences Software-Defined Networking Ethics in Computing Educational Technology

Experience

Assistant Teaching Professor

2022-01-01 — Present

University of California, Berkeley • Berkeley, CA

Teaching responsibility in various Computer Science courses, focusing on innovative teaching strategies and research in educational technology.

Awards

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Outstanding Mentorship Award for Graduate Student Instructors

2024-01-01

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.