Job Opening: Our lab is hiring a student employee (40h/month) for the development of a new benchmark for ML engineering agents with realistic ML pipelines. deem.berlin/#jobs-204356

That's nothing, I know software engineers in big tech who were capable of this feat even before the advent of GenAI

bet you’ve heard of train on test, but have you heard of test on train?

Activity of the day: tricking "AI Agents" into doom-loops ;)

Blog Post: Looking back on the first decade as faculty (2014-2024). I list my favorite papers from the decade, why I enjoyed working on them, and provide backstory and reflection. data-people-group.github.io/…

I miss the days of being a PhD student, or postdoc. I would give almost anything to have multiple full days at a time, just to concentrate deeply and single-mindedly on open-ended research.

I should write or record a longer piece on this at some point. But hopefully the slides will useful to someone. Link: github.com/okhat/blog/blob/m…

Next time my students ask me how real-world data looks like, I will point them to this article :) jimmyhmiller.com/ugliest-bea…

New research agenda we're kickstarting at Berkeley: redesigning data systems to serve the dominant workload of the future: agents! Agentic speculation is massive, heterogeneous, steerable, and redundant: properties data systems can better support and take advantage of. Take a look: arxiv.org/abs/2509.00997

Vol:18 No:12 → mlidea: Interactively Improving ML Data Preparation Code via "Shadow Pipelines" vldb.org/pvldb/vol18/p5359-g…

If you are at #icml25, don't miss @o_ovcharenko's spotlight poster today at 11 a.m. PDT — 1:30 p.m. PDT at West Exhibition Hall B2-B3 #W-311. ICML link: icml.cc/virtual/2025/poster/…

Join our lab's presentations at ICML'2025 @icmlconf in beautiful Vancouver! 1. Thursday, Olga Ovcharenko (@o_ovcharenko) will present our work with @sscdotopen and @vogt_je on "scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data", selected for a spotlight poster. icml.cc/virtual/2025/poster/…. Paper: arxiv.org/abs/2506.10031 2. Saturday, Marc Glettig (@GlettigMarc) will present our work on "H&Enium, Applying Foundation Models to Computational Pathology and Spatial Transcriptomics to Learn an Aligned Latent Space", selected for a poster presentation at the Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences. Paper: openreview.net/forum?id=W64N… ICML link: icml.cc/virtual/2025/worksho… 3. Saturday, I will give an invited talk about our CancerFoundation model by @Theus__A and Florian Barkmann at the Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences. Preprint to be updated soon with new results: biorxiv.org/content/10.1101/…

Our paper "Towards Cross-Modal Error Detection with Tables and Images" was accepted for the DataWorld workshop at ICML'25! 🥳 Thanks to @sscdotopen!

New PhD position at @AmlabUva on learning concepts with theoretical guarantees using #causality and #RL with me, Frans Oliehoek (TU Delft) and @herkevanhoof 💥 Deadline: 15 June werkenbij.uva.nl/en/vacancie…

We have a PhD opening in Berlin on "Responsible Data Engineering", with a focus on data preparation pipelines designed along responsibility objectives. This is a fully-funded position at @bifoldberlin, co-supervised by @stoyanoj from NYU. Details: deem.berlin/#jobs-17725

We have a PhD opening in Berlin on "Responsible Data Engineering", with a focus on data preparation for ML/AI systems. This is a fully-funded position with salary level E13 at the DEEM Lab, as part of @bifoldberlin . Details available at deem.berlin/#jobs-2225

Today we had a great @bifoldberlin Day 2025 (incl reception) with awesome keynotes by @CzyIna (Berlin Senate) @tkluewer (BMBF) @MatthiasBethge (Tuebingen AI Center) as well as a variety of talks, posters, and networking. Thanks to all participants.