@sscdotopen

Professor of data management for ML at @bifoldberlin. Ex-@UvA_Amsterdam, @NYUDataScience, @Twitter intern; member of @TheASF & @EFF. Views are my own.

 Berlin, Germany
deem.berlin/#professor
Joined June 2010
  • Tweets249
  • Following1.8K
  • Followers2.9K
4Media
A fun podcast with @MaximeGabella about our dreams about AI. The next frontier of AI is building agents that use statistical learning to tackle problem-specific challenges from data. Agents come with promises, but they needs statistical harness to avoid going astray on data 👇
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Job Opening: Our lab is hiring two student employees (40h/month) for research on data validation and machine unlearning. deem.berlin/#jobs-205429
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I got early access to this, and it’s going to be a game changer for science. In my case, it automatically desk rejected my manuscript for “no novel theory”. saved me a bunch of time
Claude
@claudeaiJun 30
Introducing Claude Science, a new app designed with every stage of research in mind. Artifacts traced to their code, environments managed on demand, and 60+ optional scientific databases that you can connect. Available now in beta.
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🧑‍💻🧑‍🏫 I'm recruiting a post-doc to work on Tabular Foundation Models, one of the hotest topics in AI, where we are at the leading edge. This is an opportunity to develop the next-level tabular AI, blending deep learning and tables.
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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
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That's nothing, I know software engineers in big tech who were capable of this feat even before the advent of GenAI
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bet you’ve heard of train on test, but have you heard of test on train?
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Activity of the day: tricking "AI Agents" into doom-loops ;)
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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/…

The First Decade as Faculty - Looking Back

Aditya reflects on his greatest hits from the first decade of facultyhood.

data-people-group.github.io
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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.
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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…

blog/2025.06.enduring.bitter.lesson.pdf at main · okhat/blog

Contribute to okhat/blog development by creating an account on GitHub.

github.com
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Next time my students ask me how real-world data looks like, I will point them to this article :) jimmyhmiller.com/ugliest-bea…
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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
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Sebastian retweeted
PVLDB@pvldb2 Sep 2025
Vol:18 No:12 → mlidea: Interactively Improving ML Data Preparation Code via "Shadow Pipelines" vldb.org/pvldb/vol18/p5359-g…
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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/…
Olga Ovcharenko@o_ovcharenko16 Jul 2025
Replying to @o_ovcharenko
Thanks to all co-authors Florian Barkmann, Philip Toma, @ImantDaunhawer, @vogt_je, @sscdotopen and @val_boeva 📄 Full paper: openreview.net/pdf?id=jnPHZq… 💻 Code: github.com/BoevaLab/scSSL-Be…
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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/…
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The DEEM Lab is at ICML this week for the first time, with two contributions! (1/3)
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On Thursday, Olga will present her research on "scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data". This paper is joint work with ETH Zuerich and was selected as a spotlight poster: icml.cc/virtual/2025/poster/… (2/3)
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On Saturday, @o_ovcharenko will present a poster on "Towards Cross-Modal Error Detection with Tables and Images" at the the Data World workshop, which details our initial ideas on finding errors in tables by inspecting corresponding image data: olgaovcharenko.github.io/_pa… (3/3)
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Our paper "Towards Cross-Modal Error Detection with Tables and Images" was accepted for the DataWorld workshop at ICML'25! 🥳 Thanks to @sscdotopen!
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