Dr. Ryan Giordano

Assistant Professor

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Biography

Ryan Giordano is an Assistant Professor in the Department of Statistics at the University of California, Berkeley. He earned his PhD in Statistics from UC Berkeley, along with an MSc with distinction in Econometrics and Mathematical Economics from the London School of Economics. Additionally, he holds undergraduate degrees in Mathematics and Engineering Mechanics from the University of Illinois in Urbana-Champaign. Prior to his current position, Ryan worked as a postdoctoral researcher at the Massachusetts Institute of Technology (MIT) and also held an engineering role at Google and Hewlett-Packard. His commitment to education and community service is exemplified by his years of volunteer work with the Peace Corps in Kazakhstan. His research interests include Machine Learning, Variational Inference, Bayesian Methods, and Robustness Quantification.

Research Interests

Machine Learning Variational Inference Bayesian Methods Robustness Quantification

Experience

Postdoctoral Researcher

— Present

MIT • Cambridge, MA

Conducted research in statistics and data science.

Engineer

— Present

Google, Hewlett-Packard • Mountain View, CA, Palo Alto, CA

Worked on engineering projects related to statistical analysis.

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.