About
Benjamin Seiler is an Assistant Professor of Statistics. His work includes explainable/interpretable machine learning, data science, and human trafficking prevention.
Areas of Expertise
- Data Science
- Machine Learning
- Explainability and Interpretability
- Human Trafficking
- Statistics
Education
B.A. Williams College (2013)
Ph.D. Stanford University (2023)
Courses
- STAT 101 (F, S) LEC Elementary Statistics and Data Analysis
- MATH 341/STAT 341 (F) LEC Probability
- STAT 356 LEC Time Series Analysis (not offered 2026/27)
- STAT 442 (S) LEC Statistical Learning and Data Mining
Committees
- Committee on Academic Integrity