NEWS
Researcher Spotlight: Dr. Lisa Raithel
Dr. Lisa Raithel is working at the integration of natural language processing (NLP) and medicine. Recently completing her PhD, she dives deep into the multilingual analysis of health data to uncover the real-world effects of medications.
Explainable AI illuminates the course of history
Understanding the evolution and dissemination of human knowledge over time is a long-cherished dream of many historians. A dream that faced many challenges due to the abundance of historical materials and limited specialist resources. However, the digitization of many historical archives presents new opportunities for AI-supported analysis.
EVENTS
HIDA Lecture: Efficient Natural Language Processing
This presentation will address the difficulties encountered when developing effective models with restricted data and resources.
Lunch Talk: Katharina Baum „ ML meets systems biology: Leveraging domain knowledge from differential equation-based synthetic data“
Prof. Dr. Katharina Baum from the FU research group Data Integration in the Life Sciences will present insights into her research on "ML meets systems biology: Leveraging domain knowledge from differential equation-based synthetic data".
Our Mission
BIFOLD conducts groundbreaking foundational research in Big Data Management (DM) and Machine Learning (ML), as well as their intersection, to educate the talents of the future and to create high-impact knowledge.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
PUBLICATIONS
Marvin Sextro, Gabriel Dernbach, Kai Standvoss, Simon Schallenberg, Frederick Klauschen, Klaus-Robert Müller, Maximilian Alber, Lukas Ruff
xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer
Gian Marcello Andolina, Paolo Andrea Erdman, Frank Noé, Jukka Pekola, Marco Schirò
Dicke superradiant heat current enhancement in circuit quantum electrodynamics
Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler
Training objective drives the consistency of representational similarity across datasets
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
