معرفی
Benjamin S. Baumer is a Professor in the Statistical & Data Sciences program at Smith College, where he has been teaching since 2012. He previously served as the first full-time Statistical Analyst for the New York Mets from 2004 to 2012, pioneering data-driven approaches in baseball operations.
- Education:
- Ph.D. in Mathematics, The Graduate Center of the City University of New York (2012)
- M.A. in Mathematics, University of California, San Diego
- B.A. in Mathematics, Wesleyan University
His research spans multiple domains:
- Sports Analytics (sabermetrics, player evaluation, game simulation)
- Data Science Education (curriculum development, reproducible analysis tools)
- Network Science (graph theory, complex systems)
- Statistical Computing (R programming, tidyverse workflows)
Recent publications highlight:
- Advancements in reproducible analysis (infer package, 'Fertile' framework)
- Educational innovations in team-based data science and ethics integration
- Tools for election data (fec16 package) and collaborative learning (Slack applications)
Scientific Recognition:
- 2016 Contemporary Baseball Analysis Award (SABR)
- 2019 Waller Education Award (ASA)
- 2019 Significant Contributor Award (ASA Section on Statistics in Sports)
- Accredited Professional Statistician™ since 2014 (American Statistical Association)
He co-organizes the annual ASA Five College DataFest and contributes to expanding data science pathways for community college students.
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