About MLID Research Group
Viruses require host cells to procreate and spread their progeny. For this, they enter cells, replicate and egress in a stepwise process occurring through interactions between molecules of the host cell and the pathogen molecules. These are known as host-pathogen interactions, which include various host mechanism exploitations by the pathogen. Synchronized with virus entry, uncoating, and replication through a virus genetic program, viruses induce dramatic changes of cell morphology. These may be observed in cell culture using light microscopy techniques at a moderate magnification. However, connecting the dynamics of host-pathogen interactions at cellular and tissue levels requires advanced simulations.
Recent advances in Machine Learning (ML) and Deep Learning (DL) are revolutionizing our abilities to analyze biomedical images and deepen our understanding of infection and disease. Host-pathogen interactions may be readily deciphered from microscopy data using convolutional neural networks and modern computer vision. We work on developing the latest ML/DL and Computer Science methods to facilitate our understanding of Infection Biology and Disease Biology. This includes biomedical image analysis, generative modelling, as well as simulation of biological processes.
The MLID group is a Young Investigator Group based in the Center for Advanced Systems Understanding (CASUS) of the Helmholtz-Zentrum Dresden-Rossendorf (HZDR). We are based in the beautiful historic city of Görlitz, Germany. MLID is led by Artur Yakimovich, PhD.
Image source: Wikipedia
Join us and this could be your walk to work!
Contact
You can contact Dr. Artur Yakimovich via email: a.yakimovich (at) hzdr.de