Dr. Andreas Buja

Professor

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Biography

Andreas Buja is the Liem Sioe Liong/First Pacific Company Professor Emeritus of Statistics at the University of Pennsylvania and a Senior Research Scientist at the Flatiron Institute, part of the Simons Foundation. With expertise in statistical modeling, his research interests focus on model-free theories, parametric regression, and statistical inference. He has contributed significantly to the fields of data visualization and statistical computing, developing tools such as the Association Navigator for mining large correlation tables. His work encompasses a broad array of statistical methodologies, including statistical inference in exploratory data analysis and high-dimensional data visualization, and he has published extensively in prestigious journals. Buja's teaching has included courses on data analytics, statistical methodology, and introductory business statistics, influencing the next generation of statisticians. Beyond academia, his interest in statistical methods has implications for real-world applications, particularly in understanding complex data patterns and enhancing scientific reproducibility.

Research Interests

Experience

Senior Research Scientist

2020-01-01 — Present

Flatiron Institute • New York, NY

Conducting research in computational mathematics and statistics.

Professor Emeritus

2021-07-01 — Present

University of Pennsylvania • Philadelphia, PA

Retired faculty position while engaging in ongoing research.

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.