I’m joining Cornell as an Assistant Professor in Computer Science this fall! My group will work on probabilistic machine learning for scientific discovery. I’m recruiting PhD students to start in Fall 2027 -- and stay tuned for postdoc opportunities!

Come find our poster "Electrostatic Models for Score Matching" at the #ICML2026 Workshop on Structured Probabilistic Inference & Generative Modeling July 10 @ Poster Session #2 (Hall A), 16:10 - 17:00. Led by fantastic PhD student Laura Appleby, w/ Lawrence Saul & Daniel Lee.

One day left for your submissions and fast-tracked accepted papers!

ProbML 2026 (formerly AABI) invites submissions on probabilistic ML (both Bayesian and otherwise!), July 5 in Seoul (co-located with ICML). Website: probml.cc. Tracks: proceedings (PMLR), workshop, fast track. New focus includes applications in healthcare and climate! Submit by: 20 March 2026.

Today, the NeurIPS Foundation is proud to announce a $500,000 donation to OpenReview, supporting the infrastructure that makes modern ML research possible. blog.neurips.cc/2025/12/15/s...

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

🥁 Announcing the 2025 TMLR Outstanding Certification! The committee decided upon 1 recipient and 3 finalists. Read on to learn more! Committee: Pablo Samuel Castro, Pin-Yu Chen, Vincent Dumoulin, Amir massoud Farahmand, Andreas Kirsch, Jasper Lee, Jeffrey Pennington, Colin Raffel, Chang Xu 1/n

Many people don't know this but arXiv is maintained and operated by @cornelltech.bsky.social (that does NOT mean you can send me complaints or feature requests!) Everyone in the community should be excited that arXiv got $7M to upgrade from Schmidt Sciences, NASA news.cornell.edu/stories/2025...

Simulation-based inference has really become a commonly used tool for parameter inference across many fields and applications. We (finally...) got together to write a tutorial introduction and guide to (hopefully) help users get started and navigate the different methods and diagnostics!

Wanna do a postdoc at NYU? We have postings for Faculty Fellows at both @nyudatascience.bsky.social and @nyucourant.bsky.social CS in the new School for Mathematics, Computing, and Data Science! Come work with the best! Courant CS: apply.interfolio.com/175537 CDS: apply.interfolio.com/174686

Checkout our cryo-EM simulator in JAX: paving the way for cryo-EM probabilistic modelling & statistical structural biology #cryoEM with @m0bri3n.bsky.social @miroastore.bsky.social + Harvard, Flatiron & Cornell!

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.