I'm on the academic job market! I design and analyze probabilistic machine-learning methods---motivated by real-world scientific constraints, and developed in collaboration with scientists in biology, chemistry, and physics. A few highlights of my research areas are:

Fisher meets Feynman! 🤝 We use score matching and a trick from quantum field theory to make a product-of-experts family both expressive and efficient for variational inference. To appear as a spotlight @ NeurIPS 2025. #NeurIPS2025 (link below)

Saw a talk yesterday where they mentioned the automatic statistician. What a fun throwback 😊

Our team at DeepMind is growing (again). 🚀 We're tackling grand challenges in semiconductors, magnets, energy materials, superconductors, and beyond. Join us! Two positions below.

reminder that my (wonderful, diverse, interdisciplinary) department at the University of Oregon is seeking applications for an Associate/Full Professor of Data Science -- deadline 10/31 and only cover letter/CV needed to apply academicjobsonline.org/ajo/jobs/30328

**Job Alert** Exciting postdoc position available: theoretical and experimental cryo-EM studies of flexible biomolecules. Competitive salary, collaborative environment at NYSBC and Flatiron Institute. Please share!! and contact: [email protected]

Come do an internship with us! Please apply

Not all environmental issues should be seen through the lens of CO₂. While coral death could increase ocean CO₂ uptake—since calcification releases CO₂ and dissolution releases alkalinity and allows the ocean to take up CO₂—reefs are vital for biodiversity, food, coastal protection, and livelihoods.

TMLR is looking for additional reviewers and action editors! Please sign up to keep the initiative strong and vibrant.

Keynote at #COLM2025: Nicholas Carlini from Anthropic "Are language models worth it?" Explains that the prior decade of his work on adversarial images, while it taught us a lot, isn't very applied; it's unlikely anyone is actually altering images of cats in scary ways.

Excited to be heading to @Princeton @PrincetonSML to talk about my work on variational inference! Event details below: csml.princeton.edu/events/batch...

Want to work on Trustworthy AI? 🚀 I'm seeking exceptional candidates to apply for the Digital Futures Postdoctoral Fellowship to work with me on Uncertainty Quantification, Bayesian Deep Learning, and Reliability of ML Systems. The position will be co-advised by Hossein Azizpour or Henrik Boström.

EurIPS workshop on AmOrTIzED InfErENcE!!!1!

We have created a resource in the ISBA website where you can find all recorded webinars: bayesian.org/ba-webinars/ Also, don't forget about the ISBA YouTube channel featuring curated playlists from ISBA World Meetings and specialized workshops and seminars: www.youtube.com/@isba-intern...

Excited to attend the Fast and Curious II in Toronto! Here’s the workshop page: raducraiu.com/the-fast-and...

Proposals for contributed talks & posters are now being accepted for the 2026 ISBA World Meeting! The world meeting will take place in Nagoya, Japan between 28 June and 3 July, 2026. Proposals may be submitted here: forms.gle/dVTUrdEuVF6g...

We are hiring for a postdoc to work on the intersection of molecular simulation, machine learning, and cryo-EM! Please find the job posting here. thiedelab.github.io/docs/postdoc...

Some fun news: We're hiring! Lectureship (analogous to Assistant Prof.) in Statistical Science and AI, in the School of Mathematics, University of Bristol. Closing date 13 October 2025; link below! www.bristol.ac.uk/jobs/find/de...

The application for a research fellowship at the Flatiron Institute in the Center for Computational Math is now live! This includes positions for ML and stats. The deadline is Dec 1. apply.interfolio.com/173401 ML@CCM group: users.flatironinstitute.org/~lsaul/ml_cc...

I haven’t had the chance to look closely, but I’m still eager to share this practical guide on Simulation-based Inference 👇

📣 Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS 2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. [1/3]

Announcing the first workshop on Foundations of Language Model Reasoning (FoRLM) at NeurIPS 2025! 📝Soliciting abstracts that advance foundational understanding of reasoning in language models, from theoretical analyses to rigorous empirical studies. 📆 Deadline: Sept 3, 2025

AISTATS 2026 will be in Morocco!

Enjoyed co presenting this tutorial at #uai2025 in Brazil with Yingzhen Li! Enjoyed the conference size and location. Also great company, weather, and food.

Headed to Singapore for BayesComp next week!

Exciting news: The Fairness, Accountability, Transparency and Ethics (FATE) group at Microsoft Research NYC is hiring a predoctoral fellow!!! 🎉 www.microsoft.com/en-us/resear...

Come check out our #AISTATS2025 poster Sunday Hall A—E 79. Previously we showed how to fit a full cov Gaussian approx via “batch and (score) match.” Here we show how to make the update cheaper using a “patch” step that projects the update to one that is low rank + diagonal.

Overfitting is among the conceptually most interesting problems in machine learning. I am happy of several new phenomena we began to understand with Pierfrancesco Urbani. Alert: mostly non-rigorous! (Celebrating Jorge Kurchan) web.stanford.edu/~montanar/OT...

I hope you will read the letter from President Garber www.harvard.edu/president/ne... and particularly take up his request that you read what the U.S. Government demanded of Harvard.

props to that reviewer who just spotted that several references of a survey did not exist! very likely that those refs and (part of) the manuscript have been generated by LLMs without authors thoroughly checking.

🥇 Accepted workshops are out! www.auai.org/uai2025/work... Get ready for a day of great talks, panels, and discussions on causality, tractable models, and safe AI. Don't forget to submit your work, and see you in Rio! 🇧🇷

To say that I am shocked at this tragic news is an understatement. I got to know Sayan well during my time at Duke; he was deeply knowledgeable about all sorts of things and had a great sense of humor. He was the one and only Bayesian anarchist. www.mis.mpg.de/news/loss-sa...

Very cool to see our ICML 2024 paper on Batch and Match variational inference featured in OpenAI’s PaperBench! They have a nice blog post and paper here: openai.com/index/paperb...

Looking forward to attending and speaking at LoG-NYC, held at the Flatiron Institute. Lots of interesting topics around ML for science, networks, and structured probabilistic inference. log-nyc.github.io

🚀 Exciting news! We're proposing a new *Bayesian Deep Learning* section within @isba-bayesian.bsky.social . If you support this initiative, add your name to the petition and help make it happen! 🔗 Petition: tinyurl.com/527vaamz Sinead Williamson, Theo Papamarkou @vincefort.bsky.social Sara Wade 1/2

Enjoying the BIRS workshop on efficient approximate inference! Really great program on various aspects of variational inference. My talk from yesterday on "batch and match: score based approaches for black-box variational inference" is linked here: www.birs.ca/events/2025/...

1/ Introducing ACE (Amortized Conditioning Engine)! Our new AISTATS 2025 paper presents a transformer framework that unifies tasks from image completion to BayesOpt & simulator-based inference under *one* probabilistic conditioning approach. It's Bayes all the way down!

🚨 #NOAA is essential for weather forecasting, climate research, and public safety. AGU stands with the scientific community in urging Congress to protect and strengthen NOAA, not dismantle it. Our economy, environment, and safety depend on it.

One of the people fired from NOAA today is the director of the Ocean Acidification Program. That program also leads the U.S. government's effort on marine carbon dioxide removal (mCDR). The destruction of American science is incomprehensible.

The deadline for abstract submission of contributed papers and posters for BayesComp2025 has been extended to 28 February. Decisions by 14 March. Submit here! bayescomp2025.sg/abstract-sub... The deadline for early bird registration has been extended to March 22. Hope to see you in Singapore!

Workshop on Advances in Post-Bayesian methods (May 15--16, UCL): postbayes.github.io/workshop2025/

Are interested in making #computervision models more #reliable and #robust by accounting for #uncertainties? Then consider submitting your awesome work to our @cvprconference.bsky.social workshop! uncertainty-cv.github.io/2025/

📣 The 11th Statistical Analysis of Neuronal Data (SAND11) workshop will be held June 11-13, 2025 in New York at the @flatironinstitute.org with generous support from @simonsfoundation.org Submissions for talks+posters are due March 21. See our website for details 👇 sandworkshop.github.io

A touch of self-advertisement: I'll be giving a research talk next Tuesday at the Online Monte Carlo Seminar (sites.google.com/view/monte-c...) on one of my favourite topics: the convergence properties of the Random Walk Metropolis algorithm. Please join us!

Registration is now open for BAYESM 2025!

I recently put the style pack for #ProbNum25 on probnum25.github.io. Designing it was an interesting experience. I was tempted to propose a 16:9 screen-centric layout (who still prints papers?), but I got feedback this wouldn't look "serious". So I went for... (1/2)

Big news: you can now submit your papers to the first ever international conference on probabilistic numerics (1-3 September, Southern France)! Don’t miss the chance to get in on the ground floor of this exciting new field! probnum25.github.io/submissions

Interested in reviewing for #TMLR? I am looking for reviewers with expertise in e.g., probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. You can specify a max paper load and mark when you're unavailable to review. Sign up on the google form below:

Our paper "Batch, match, and patch: low-rank approximations for score-based variational inference" is accepted to #AISTATS2025. This paper addresses score-based variational inference with Gaussians (batch and match VI) with low rank + diagonal covariances. Preprint: arxiv.org/abs/2410.22292

Sad after #AISTATS2025 and #ICLR2025 notifications? As we say in Italy, when a door closes, a bigger one opens ;) If you have a fantastic paper on #uncertainty #AI #ML #causality #statML #probabilisticmodels #reasoning #impreciseprobabilities etc, consider submitting to #UAI2025 🇧🇷 deadline 10 Feb 💥