NEWS
BIFOLD appoints new Deputy Directors
BIFOLD appoints Prof. Dr. Begüm Demir, Prof. Dr. Konrad Rieck and Prof. Dr. Alexander Meyer, as BIFOLD Deputy Directors. With this decision, BIFOLD strengthens its leadership team and underlines its commitment to advancing cutting-edge research in data-driven technologies and machine learning.
Memphis paper receives 2026 ACM SIGMOD Research Highlight Award
The SIGMOD community honors the research of BIFOLD researchers Arnab Phani and Matthias Böhm. Their work on eliminating the inefficient reuse of intermediate computations across multi-backend machine learning systems addresses a key challenge at the intersection of data engineering and ML.
EVENTS
kennedy+swan: The Red Queen Effect
Starting January 26, 2026, the foyer of the Rahel Hirsch Center will host a new exhibition dedicated to a topic central to research at BIH and Charité: Artificial Intelligence.
Reclaim the Cloud! Contesting, Resisting and Reimagining Data Centers
Data centers are the backbone of the internet and the foundation for architecture of our digital lives. Around the world, large tech companies, such as Microsoft, Meta, Amazon and Google are investing billions in hyper-scaler data centers designed to provide computation and data capacity for generative AI and other digital products.
*Data collected from 2020 onwards.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
PUBLICATIONS
Nikolai Merkel, Ruben Mayer, Volker Markl, Hans-Arno Jacobsen
EmbedPart: Embedding-Driven Graph Partitioning for Scalable Graph Neural Network Training
Johann-Ludwig Herzog, Mathis Jürgen Adler, Leonard Hackel, Yan Shu, Angelos Zavras, Ioannis Papoutsis, Paolo Rota, Begüm Demir
BigEarthNet.txt: A Large-Scale Multi-Sensor Image-Text Dataset and Benchmark for Earth Observation
Leonardo Medrano Sandonas, David Balcells, Anton Bochkarev, Jacqueline M. Cole, Volker L. Deringer, Werner Dobrautz, Adrian Ehrenhofer, Thorben Frank, Pascal Friederich, Rico Friedrich et al.
Perspective: Towards sustainable exploration of chemical spaces with machine learning
GRADUATE SCHOOL
Based on a highly competitive application process, the BIFOLD Graduate School offers an innovative fast-track PhD Program for students holding a bachelor’s degree, as well as a PhD Program for students with a master’s degree.
INSTITUTIONAL PARTNERS
ASSOCIATED PARTNERS
