Dr. Fernando Pérez

Associate Professor

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Biography

Fernando Pérez's research focuses on creating tools for modern computational research in the data science domain. He emphasizes high-level programming languages, interactive literate computing, and reproducible research. His work with tools such as the IPython Project and Jupyter builds foundational blocks that enable scientists to tackle various stages of computational research, from exploration to publication, in a coherent manner. This approach aims to improve scientific productivity, collaboration, and reproducibility across disciplines.

Research Interests

Data Science Educational Data Science Scientific Computing

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.