Dr. Bartolomeo Stellato

Assistant Professor

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Biography

Bartolomeo Stellato is an Assistant Professor in the Department of Operations Research and Financial Engineering at Princeton University. His research focuses on the development of data-driven computational tools and techniques in mathematical optimization and machine learning. He explores the application of these methods in areas such as autonomous systems, data science, and robotics. With a keen interest in how optimization can aid decision-making under uncertainty, Stellato is committed to advancing the field through innovative research and collaboration.

Research Interests

Data-Driven Computational Tools Mathematical Optimization Machine Learning Optimal Control Autonomous Systems Data Science Robotics

Requirements for Princeton University

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Speaking
Required:27
IELTS
Speaking
Required:8
Prerequisites
Bachelor's degree in engineering or science Strong background in mathematics, materials, physics, or related engineering
Application Checklist
  • Academic Statement of Purpose
  • Personal Statement
  • Resume/CV
  • Three Letters of Recommendation
  • Transcripts
  • Application Fee
Specialization Notes

GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.