Our paper "Towards a Real-World Aligned Benchmark for Unlearning in Recommender Systems" is accepted at the #RecSys2025 FAccTRec workshop. 🎉 We propose a realistic benchmark for machine unlearning that addresses real-world privacy challenges like GDPR's "right to be forgotten". @bifold.berlin

On Saturday, @oovcharenko.bsky.social will present a poster on "Towards Cross-Modal Error Detection with Tables and Images" at the the Data World workshop, which focuses on finding errors in tables by inspecting corresponding image data: olgaovcharenko.github.io/_pages/MERIT... (3/3)

On Thursday, @oovcharenko.bsky.social 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... (2/3)

The DEEM Lab is at ICML this week for the first time, with two contributions! (1/3)

We have a PhD opening in Berlin on "Responsible Data Engineering", with a focus on data preparation pipelines that optimize ML models along responsibility objectives. This is a fully-funded position at @bifold.berlin, co-supervised by Julia Stoyanovich 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 newly founded DEEM Lab, as part of @bifold.berlin . Details available at deem.berlin#jobs-2225

We have openings for student assistants in the DEEM Lab at @bifold.berlin. This is a great opportunity to work with PhD students, implement cool stuff, gather research experience and become a co-author of scientific publications :) deem.berlin#jobs-193487

Our vision "Towards Regaining Control over Messy ML Pipelines" was accepted for the DAIS workshop at ICDE! 🥳 Initial experiments show LLMs are promising for extracting declarative query plans from messy ML code. Joint work w/ @guangchen811.bsky.social @oovcharenko.bsky.social @mersault.bsky.social

We have a PhD opening in Berlin on "Responsible Data Engineering", with a focus on efficiently creating, maintaining and evaluating datasets and pipelines for ML use cases. This is a fully-funded position at the newly founded DEEM Lab, as part of @bifold.berlin . deem.berlin#jobs-2225