Stan: Development Team

Stan is a Team Effort

Core contributors to Stan's design, implementation, and testing, in order of joining:

• Andrew Gelman   (Columbia University)
• Bob Carpenter   (Columbia University)
• Matt Hoffman   (Adobe Creative Technologies Lab)
• Daniel Lee   (Columbia University)
• Michael Malecki   (YouGov America)
• Ben Goodrich   (Columbia University)
• Michael Betancourt   (Adaptly)
• Marcus Brubaker   (University of Toronto)
• Jiqiang Guo   (Columbia University)

Join the Team

For more info on how join the the development team, see

• how to contribute to Stan.

Funding Acknowledgments

Without the following generous funding from our sponsors, Stan would not exist.

Current Grant Funding

Stan is currently funded in part by the following grants.

• U. S. National Science Foundation
  (CNS-1205516: Stan: Scalable Software for Bayesian Modeling)

Past Funding

The original development of Stan was funded in part by the following grants.

• U. S. Department of Energy
  (DE-SC0002099)
• U. S. National Science Foundation
  (ATM-0934516: Reconstructing Climate from Tree Ring Data).
• U. S. Department of Education Institute of Education Sciences
  (ED-GRANTS-032309-005: Practical Tools for Multilevel Hierarchical Modeling in Education Research)
  (R305D090006-09A: Practical Solutions for Missing Data)

The high-performance computing facility used to evaluate NUTS was funded through the following grant.

• U. S. National Institutes of Health
  (1G20RR030893-01: Research Facility Improvement Grant)