Dr. Ryan Tibshirani

Professor

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Biography

Ryan Tibshirani is a Professor in the Department of Statistics at the University of California, Berkeley. His research encompasses a range of topics within high-dimensional statistics and nonparametric estimation. His interests include distribution-free inference, probabilistic forecasting, and machine learning methodologies. Additionally, he focuses on convex optimization and numerical methods that are pivotal for tracking forecasting in various model settings, including epidemiological contexts. Through his work, he has contributed significantly to advancing statistical techniques and applications, especially in understanding complex data structures.

Research Interests

High-Dimensional Statistics Nonparametric Estimation Distribution-Free Inference Probabilistic Forecasting Machine Learning Convex Optimization Numerical Methods Tracking Forecasting Epidemics

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.