Dr. Shane Jensen

Professor

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Biography

Shane T. Jensen is a Professor in the Department of Statistics and Data Science at the University of Pennsylvania. He graduated with a PhD from Harvard University in 2004, after obtaining his MS and BS from McGill University in 1999 and 1997, respectively. His main research interests lie in Bayesian multi-level modeling, spatial statistics, urban analytics, and statistics in sports. Jensen has published numerous articles addressing topics such as the effects of greening vacant lots on neighborhood attributes and urban safety. In addition to his teaching and research activities, he has received several awards including the Savage Award for his thesis from the International Society for Bayesian Analysis and the JASA Reproducibility Award from the American Statistical Association. He has been a faculty member at Wharton since 2004 and teaches courses on Bayesian statistics, integrating advanced data analysis methods and statistical software proficiency. His work not only contributes to statistical methodologies but also has practical implications in urban planning and sports analytics, making him a notable figure in his field.

Research Interests

Experience

Professor

2004-01-01 — Present

University of Pennsylvania • Philadelphia, PA

Professor in the Department of Statistics and Data Science, focusing on Bayesian methods and urban analytics.

Awards

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Savage Award

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Outstanding Teaching Award

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Sports Statistics Award

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JASA Reproducibility Award

Requirements for University of Pennsylvania

Doctorate Program
Requirements
GPA Requirement
Required:3.6
GRE General
Verbal
Required:162
Quantitative
Required:162
Overall
Required:162
GMAT
Total Score
Required:728
Overall
Required:728
TOEFL
Total
Required:115
Prerequisites
Bachelor's degree or equivalent Strong quantitative background
Application Checklist
  • Academic Transcripts
  • Letters of Recommendation (2-3)
  • Resume/CV
  • Statement of Purpose
  • Essays
Specialization Notes

Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.