Dr. Victoria Stodden

Assistant Professor

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Biography

Victoria Stodden is an Associate Professor in the Daniel J. Epstein Department of Industrial and Systems Engineering at the University of Southern California. With a background in statistical methodology and data science, her research focuses on the intersection of machine learning, reproducibility, and statistical applications in various fields. She has contributed significantly to the academic community through her publications and collaborative work, emphasizing the importance of transparency and reproducibility in research. Stodden is also committed to teaching and mentoring the next generation of engineers and researchers, ensuring they are equipped with the necessary skills to navigate the complexities of modern data analytics and systems engineering. Her work is characterized by a blend of theoretical exploration and practical implementation, aiming to bridge the gap between academia and real-world applications.

Research Interests

Requirements for University of Southern California

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
GRE General
Prerequisites
Bachelor's degree in engineering or related science
Application Checklist
  • Official transcripts
  • GRE General scores
  • TOEFL scores (International)
  • Three letters of recommendation
  • Personal Statement
Specialization Notes

Requires general GRE for all graduate degrees.