Project

We are working on several data-driven projects for biology, while methodologically focusing on resampling methods, statistical learning, and deep neural networks.

Funding

• Explainable Artificial Intelligence for Cancer Imaging (XAICancer)
  SONATA BIS (2024-2029) National Science Centre
• Interpretability of Deep Neural Networks for Radiomics (INFORM)
  CHIST-ERA (2021-2024) Horizon 2020
• Statistical and Machine Learning Challenges in Classification and Integration of Molecular and Genomic Data
  SONATA (2017-2021) National Science Centre

Collaboration

• Deep learning and radiomics with Dr. Mathieu Hatt (Laboratory of Medical Information Processing, France) and Dr. Panagiotis Papadimitroulas (BioEmTech, Greece)
• Statistical genetics with Dr. Alex Ochoa (Duke University, USA)
• Cardiovascular diseases and proteomics with Dr. Peipei Ping (University of California Los Angeles, USA)