Scholar
Eugene Katsevich
Google Scholar ID: xC13Kb4AAAAJ
Assistant Professor, Wharton Statistics Department
Citations & Impact
Citations
833
H-index
15
i10-index
16
Publications
20
Co-authors
0
Publications
Resume (English only)
Research Experience
- Teaches STAT 4710 (Modern Data Mining) and STAT 9610 (Statistical Methodology) at UPenn. In addition to teaching and research, passionate about providing resources and guidance for statistics students.
Background
- Assistant Professor at Wharton's Department of Statistics and Data Science. Research centers on several interconnected themes, spanning statistical theory, methodology, and applications, particularly in modern genomics. Focuses on methodological and theoretical problems in high-dimensional variable selection, conditional independence testing, double/debiased machine learning, multiple testing, and selective inference.
Miscellany
- Interests include sharing resources and guidance through GitHub, Feed, etc.
Co-authors