StanCon 2023

StanCon 2023

Buy tickets for StanCon 2023

Stan ( is a probabilistic programming and statistical modeling language used by tens of thousands of scientists, engineers, and other researchers for statistical modeling, data analysis, and prediction. It is being applied academically and commercially across fields as diverse as ecology, pharmacometrics, physics, political science, finance and econometrics, professional sports, real estate, publishing, recommender systems, and educational testing.

If you have questions regarding registration, payments, travel, please email

StanCon participants are expected to abide by the Stan code of conduct.

Invited speakers

Bob Carpenter (Flatiron institute)

John Kruschke (Indiana University)

Mariel Finucane (Mathematica Policy Research)

Siddhartha Chib (Washington University in St. Louis)


Introduction to Bayesian hierarchical modeling using Stan and brms

Instructor: Mitzi Morris, Mike Lawrence

Ordinary differential equation (ODE) models in Stan

Instructor: Daniel Lee.


Call for proposals

We invite participants to submit proposals for contributed talks, thematic sessions, posters, and tutorials.

We are interested in a broad range of topics relevant to the Stan community, including:

  • Applications of Bayesian statistics using Stan in all domains
  • Software development to support or complement the Stan ecosystem
  • Methods for Bayesian modeling, relevant to a broad range of users
  • Theoretical insights on common Bayesian methods and models
  • Visualization techniques
  • Tools for teaching Bayesian modeling

Keep in mind that StanCon brings together a diverse audience. Material which focuses on an application should introduce the problem to non-field experts; theoretical insights should be linked to problems modelers are working on, etc.

Call for contributed talks

Talks are 15 minutes long, with an additional 5 minutes dedicated to questions.

To submit a proposal for a contributed talk, submit a form by March 31st.

Call for thematic sessions

Thematic sessions are an opportunity to dive deeper into a topic and comprise three talks (15 + 5 minutes each), with an additional 10 minutes which can be used for a panel discussion. Thematic sessions may be run in parallel.

To submit a proposal for a contributed talk, submit a form by March 31st.

Call for posters

We invite participants to submit abstracts for posters. These abstracts will be reviewed by the StanCon scientific committee. Accepted posters will be displayed in a dedicated room during the conference. In addition, an online version of the poster will be available. We encourage authors to share code with which the results and figures in the poster can be reproduced.

Posters should be 24in x 48in.

If the poster summarizes work presented in a longer document (e.g. a paper, a doc), please reference this document.

An example poster from StanCon 2018 can be found here.

To submit an abstract, submit a form. We accept poster submission on a rolling basis.

Call for tutorials

Tutorials are an opportunity to do an in-depth exploration of a particular topic and may focus on a class of models, certain features in the Stan language, or a new package in the broader Stan ecosystem. Tutorials typically include hands-on exercises, which participants can perform on their own computers.

Tutorials may comprise a single session of 2 or 3 hours (half-a-day) or two sessions of 2 or 3 hours each (full day).

To submit a proposal for a tutorial, submit a form by March 31st.


We would like to thank our sponsors who both support conference costs, scholarships, and Stan as a whole. If you’re interested in sponsoring StanCon, please email


  • Tutorials: June 20-21, 2023
  • Conference: June 22-23, 2023
  • Conference Dinner: June 22, 2023

Details coming soon.


Buy tickets for StanCon 2023

Early bird price till March 31, 2023!

Conference only

$199(student) $299(academic) $449(industry)

Tutorial & workshop + Conference

$299(student) $449(academic) $599(industry)


  • Charles Margossian (Flatiron Institute)
  • Debashis Mondal (Washington University in St. Louis)
  • Eric Ward (NOAA & University of Washington)
  • Vianey Leos Barajas (University of Toronto)
  • Yi Zhang (Sage Therapeutics, Inc)