🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

❕REMINDER: application deadline April 11 We're looking forward to your application!

We seek a highly motivated postdoctoral researcher in the department of Karsten Borgwardt. Check out the #joboffer! ❕apply until June 16th ❕mpg.de/20298399/postd… #jobalert #machinelearning #systemsbiology #computersciences #postdoc Karsten Borgwardt

An ML model could predict functionally relevant coronary artery disease better than cardiologists, achieving an AUROC of 0.71 compared to 0.64, significantly improving diagnostic accuracy using ECG signals from exercise stress testing Karsten Borgwardt & Christian Müller

Congratulations to Tim Kucera for receiving the Junior Scientist Publication Award for his work on proteinshake.ai at Max Planck Institute of Biochemistry (MPIB)'s InstitutsFest 2024! Paper: proceedings.neurips.cc/paper_files/pa… MLSB

Congratulations, Michael Moor, and best wishes for your future D-BSSE, ETH Zurich! MLSB/MLCB is very proud to have brought about a 3rd ETH Zürich professor after Karsten Borgwardt and Catherine Jutzeler-Walter

We have an epic new lab picture from our summer excursion last week. #Neuschwanstein MLSB Karsten Borgwardt

Today is my first day at the Max Planck Institute of Biochemistry Max Planck Institute of Biochemistry (MPIB). Absolutely thrilled to be starting my own group in the Department of Machine Learning and Systems Biology MLSB

We are very happy and excited that Bernadette Stolz (Dr. Bernadette Stolz) just started a new group within our department! MLSB Max Planck Institute of Biochemistry (MPIB)

Deep learning uncovers sequence-specific amplification bias in multi-template PCR 1/ Researchers at ETH Zurich have developed a deep learning model to identify amplification bias in multi-template PCR, a technique essential for various DNA-related applications like sequencing

🚨OPEN PhD position🚨 I am looking for a highly motivated PhD student to join my project group in the Department of Machine Learning and Systems Biology MLSB led by Karsten Borgwardt at Max Planck Institute of Biochemistry (MPIB) near Munich. Deadline November 15th. Please RT.

Karsten Borgwardt 's lecture "Exploring life with #ArtificialInteligence", part of the "Was Wissen schafft" lecture series, showed how #MachineLearning can achieve previously unimaginable breakthroughs in #LifeSciences . Thanks for an inspiring and exciting talk MLSB!

As part of the "Was Wissen schafft" lecture series, Karsten Borgwardt 's lecture "Exploring life with #ArtificialInteligence" showed how #MachineLearning can achieve previously unimaginable breakthroughs in #LifeSciences . Thanks for an inspiring and exciting talk MLSB!

My lab is again recruiting PhD students through this year's ELLIS call - apply by November 15 #MachineLearning #Bioinformatics MLSB Max Planck Institute of Biochemistry (MPIB)

New paper accepted at NeurIPS 2024! On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks 📜Paper: openreview.net/pdf?id=8APPypS… 1. Message-passing GNNs are limited by the expressive power of the 1-Weisfeiler-Leman (color refinement) test for graph

We have also started a BlueSky channel: ML Shearer-Brennan-borgwardt.bsky.social

Today, we are excited to announce #AI-LIFE, a new network at the interface of #ArtificialIntelligence and the #LifeSciences. The mission of #AI-LIFE is to foster research, training and international collaborations in these domains. Visit: ai-life.cc for details.

At its core, #AI-LIFE is a thesis advisor network. PIs from universities, industry & research organizations can join #AI-LIFE and register their doctoral students as #AI-LIFE doctoral students. #AI-LIFE PI members participate in thesis advisory meetings of each other's students.

After the first phase of growth of our thesis advisor network ai-life.cc, we have decided to further streamline the application process for new principal investigator members: Send an email with your (1) CV (2) Google Scholar/ORCID profile (3) professional URL to

New paper accepted at ICLR 2025 (Spotlight)! Graph Neural Networks Can (Often) Count Substructures 📜Paper: openreview.net/forum?id=sZQRU… 1. Message passing GNNs are known to have limited expressive power. Because of this, they are unable to count subgraphs in arbitrary graphs.