Dr. Andrew Stuart

Professor

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Biography

Professor Andrew Stuart is a Bren Professor of Computing and Mathematical Sciences at Caltech, appointed in 2016. His research primarily focuses on the development of mathematical and algorithmic frameworks that facilitate the seamless integration of models with data. He works extensively within the Bayesian formulation of inverse problems and data assimilation in dynamical systems, emphasizing the quantification of uncertainty. His current interests include various applications within the geophysical sciences and graph-based learning. He has a rich academic background, having obtained his B.S. from the University of Bristol in 1983, followed by a Ph.D. from the University of Oxford in 1986, which laid the foundation for his subsequent contributions to the field.

Research Interests

Data Assimilation Inverse Problems Stochastic Modeling

Courses

CMS/ACM/IDS 107 ab – Linear Analysis Applications ACM/IDS 154 – Inverse Problems Data Assimilation CMS/ACM/IDS 107 – Linear Analysis Applications ACM 109 – Mathematical Modelling ACM/IDS 180 ab – Multiscale Modeling

Requirements for California Institute of Technology

Doctorate Program
Requirements
TOEFL
Total
Required:100
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or equivalent Strong background in mathematics and physical sciences
Application Checklist
  • Online Application
  • Statement of Purpose
  • Three Letters of Recommendation
  • Transcripts
  • Resume/CV
Specialization Notes

Most Caltech graduate programs are PhD-only. GRE General and Subject tests vary by department; many have made them optional or no longer accept them.