Finally, got a copy of Bayesian workflow book in my hand, and it looks awesome! I really like we did get full colors for figures, too
Charles Margossian
@charlesm993.bsky.social
Prof at the University of British Columbia. Research in statistics, ML, and AI for science. Views are my own. https://charlesm93.github.io./
This looks like a great opportunity. I think most people know what an outstanding stats department U Toronto has and on the basis of a visit, I can also attest to how congenial the researchers there are.
Vianey Leos Barajas@vianeylb.bsky.social · 3w agoMy statistical sciences dept is hiring in the area of Statistical Learning Theory & adjacent fields (assistant professor rank). Located at downtown campus. 🔹Salary Range: $140,000-$190,000 annually (based on experience) 🔹Application Deadline: November 9, 2026 academicjobsonline.org/ajo/jobs/32307
My statistical sciences dept is hiring in the area of Statistical Learning Theory & adjacent fields (assistant professor rank). Located at downtown campus. 🔹Salary Range: $140,000-$190,000 annually (based on experience) 🔹Application Deadline: November 9, 2026 academicjobsonline.org/ajo/jobs/32307
University of Toronto, Statistical Sciences
Job #AJO32307, Assistant Professor, Statistical Learning Theory, Statistical Sciences, University of Toronto, Toronto, Ontario, CA
academicjobsonline.org
Catching up with a few co-authors of "Bayesian Workflow" and fellow Stan developers at #ISBA2026. @paulbuerkner.com @vianeylb.bsky.social @yulingy.bsky.social
🇯🇵 This week, I'm at the ISBA world meeting in Nagoya, Japan. 🤝 Looking forward to connecting with colleagues, old and new! 🎙️ I'll talk about MCMC on GPUs at the session on "Principled Tuning of MCMC" this Friday at 9am. 🪑 I'll chair the session on "Advances in Sampling" Friday at 11am.
📘 With the release of our textbook "Bayesian Workflow" (avehtari.github.io/Bayesian-Wor...), I figured I'd also share the content of my graduate course on the topic at UBC. 🌎 charlesm93.github.io/stat547/ The course contains overlapping and complementary material, homeworks and reading.
Bayesian Workflow book: Website – Bayesian Workflow book
Website for the Bayesian Workflow book by Gelman, Vehtari, McElreath, et al. — case studies, code, and exercises in R and Stan.
avehtari.github.io
posterior R package has now JOSS paper you can cite, too joss.theoj.org/papers/10.21... with @paulbuerkner.com , Jonah Gabry, @mjskay.com
posterior: Tools for Working with Posterior Distributions in R
Bürkner et al., (2026). posterior: Tools for Working with Posterior Distributions in R. Journal of Open Source Software, 11(122), 10526, https://doi.org/10.21105/joss.10526
joss.theoj.org
Stan embedded Laplace was a long project and happy that it's finally released. We are not competing with INLA and TMB software, as they are orders of magnitude faster and scale better with data size for models that you can implement with them 1/
MC Stan@mc-stan.org · 3mo agoCmdStan 2.39 has been released! - embedded Laplace approximation - new yule_simon distribution - gamma_lccdf more stable - optimization convergence status in output - length-1 tuples See more at blog.mc-stan.org/2026/05/19/r...
#FlatironCCM's Teresa Huang explores how symmetries and structure can reveal new insights into the universe, aiding discovery in everything from cosmology to the development of fusion energy. https://www.simonsfoundation.org/teresa-huang-bridging-science-and-machine-learning-at-cosmic-scales/
Teresa Huang: Bridging Science and Machine Learning at Cosmic Scales
Flatiron Institute Research Fellow Teresa Huang uses machine learning to help scientists improve models for scientific applications involving large datasets.
simonsfoundation.org
do mine eyes deceive me? a release date in the present year?
StanCon 2026 is this August 17-21 in Upsala, Sweden 🇸🇪 www.stancon2026.org ⏰ Abstracts for contributed talks are due Feb 25 ⏰ Abstracts for posters are due May 27 And just to be clear: Yes, StanCon is my favorite conference to attend!! Can't wait for this one!
Bayesian Workflow by Andrew Gelman, Aki Vehtari, @rmcelreath.bsky.social with @danpsimpson.bsky.social, @charlesm993.bsky.social, @yulingy.bsky.social, Lauren Kennedy, Jonah Gabry, @paulbuerkner.com, @modrakm.bsky.social, @vianeylb.bsky.social (in production, estimated copy-editing time 6 weeks)
Simons Foundation president David Spergel recently spoke to @issuesinst.bsky.social about the future of science philanthropy: https://issues.org/american-science-simons-spergel-interview/ #science #math #philanthropy
“There Are Two Possible Futures for American Science.”
The Simons Foundation president talks about science philanthropy, the future of the research enterprise, and remaining hopeful.
issues.org
What is "workflow" and why is it important? The latest blog post by Andrew Gelman: statmodeling.stat.columbia.edu/2026/01/08/w...
What is “workflow” and why is it important? | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
🇪🇸 This week I'm attending ICSDS (International Conference on Stats & Data Science) in Sevilla, Spain. 🤝 Looking forward to connecting with colleagues, old and new! 💡On Wednesday, I'll give a talk on "Variational Inference in the Presence of Symmetry" at the 9 am session on Bayesian learning.
Check out my poster today (Thurs) at 11am--2pm session. Exhibit Hall C,D,E Poster Location: #602 "Fisher meets Feynman: score-based variational inference with a product of experts" (NeurIPS spotlight) with Robert Gower, David Blei, and Lawrence Saul @flatironinstitute.org #NeurIPS2025
Applications for the PhD and MSc programs in statistics at UBC are now open! 📆 Deadline for PhD program is December 1st 📆 Deadline for MSc program is January 5th The department covers all areas of statistics and we have a lot of momentum in Bayesian computation!
Application for a postdoc research fellowship in computational mathematics at the Flatiron Institute in New York are now open! apply.interfolio.com/173401 📆 Deadline is December 1st. 🔭 This is an excellent place to do research at the interface of ML, stats and the natural sciences.
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
apply.interfolio.com
My paper with Loucas Pillaud-Vivien and Lawrence Saul, “Variational Inference for Uncertainty Quantification: An Analysis of Trade-offs”, has been accepted for publication in the Journal of Machine Learning Research. 📃 arxiv.org/abs/2403.13748 🧵 1/
Yes, in principle, I start at UBC Statistics today. But right now, I'm running around the Frankfurt airport to catch my flight to Vancouver .... 🏃♂️🧳✈️ www.stat.ubc.ca/news/charles...
Charles Margossian Joins the UBC Department of Statistics | UBC Statistics
stat.ubc.ca
Earlier this month, I taught at the summer school on "cryptography, statistics and machine learning" (mathschool.ysu.am) hosted by Yerevan State University in Armenia 🇦🇲 🙏 Thank you to the organizers for putting together such a wonderful event! I truly enjoyed interacting with the students.
New manuscript by Nawaf Bou-Rabee, Bob Carpenter, Tore Kleppe and Sifan Liu on the WALNUTS algorithm which improves of the NUTS sampler by introducing a locally adaptive step size. 📜 Paper: arxiv.org/pdf/2506.18746 💻 Code: github.com/bob-carpente...
🇸🇬 Next stop: Singapore for BayesComp'25 (bayescomp2025.sg) The organizers put together a wonderful program! I'll be: 🪑 chairing the session on "Parallel comp for MCMC" 🎙️ speaking at the session on "Advances in VI" Looking forward to meeting researchers and catching up with colleagues.
Research opportunity for a graduate student in ecology 🌳 at UBC 🇨🇦 with Lizzie Wolkovich and the Temporal Ecology lab (temporalecology.org). 📝 Apply here: temporalecology.org/joining-the-... by July 1st 2025! The abstract sounds fascinating (see attached).
🧑💻 Candidate release for Stan 2.37 is out: discourse.mc-stan.org/t/cmdstan-st.... Lots of exciting features to try out, including: - embedded/integrated Laplace approximation - new constrained types (e.g. sum_to_zero_matrix) - built-in constraint transformations exposed
CmdStan & Stan 2.37 release candidate
I am happy to announce that the latest release candidates of CmdStan and Stan are now available on Github! This release cycle brings the embedded Laplace approximation, a sum-to-zero matrix type, new...
discourse.mc-stan.org
Taking our Models Seriously (my talk at StanBio Connect, this Friday 9am) statmodeling.stat.columbia.edu/2025/05/27/t...
Taking our Models Seriously (my talk at StanBio Connect, this Friday 9am) | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
✨ Thank you #AISTATS for the best paper award!! 📜 arxiv.org/abs/2410.11067 💡What does VI learn and under what conditions? The answer lies in symmetry. 🤝 Honored to share this award with my co-author Lawrence Saul from @flatironinstitute.org
🇹🇭 Just arrived in Phuket, Thailand for #AISTATS 2025. 📃 I'll presenting my recent work with Lawrence Saul on Variational Inference in Location-Sacale Families: arxiv.org/abs/2410.11067 DM if you are in town and want to connect at the conference!
For the first time, Journal-to-Conference papers have entered the schedule of #AISTATS2025 🎉 To celebrate here is a bingo card: should you be among the first to meet all of our amazing Journal-to-Conference presenters (I need proof!), I’ll buy you a drink... provided that you can find me too!
