Benjamin S. Baumer

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.