Laure Ciernik
Laure Ciernik
Doctoral Researcher
Laure Ciernik is a PhD student at the TU Berlin Machine Learning Group. She completed her MSc at ETH Zurich in Data Science, focusing on ML for Healthcare and Bioinformatics. Her master’s thesis was conducted at the Boeva Lab for Computational Cancer Genomics. Laure’s research interests revolve around the intersection of Machine Learning and Biomedicine.
- Biomedical Data Analysis
- Computational genomics
- Computational pathology
- Explainable AI
Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler
Training objective drives the consistency of representational similarity across datasets
Julius Hense, Mina Jamshidi Idaji, Oliver Eberle, Thomas Schnake, Jonas Dippel, Laure Ciernik, Oliver Buchstab, Andreas Mock, Frederick Klauschen, Klaus-Robert Müller
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
Girls' Day: dEIn Labor and BIFOLD offer AI workshop
TU Berlin is once again participating in this year's "Girls' Day" on April 25, 2024. dEIn Labor and BIFOLD offer a workshop for schoolgirls from the age of 15.