Tanja Laske

Dr. Tanja Laske is a Group Leader at the Cosy.Bio lab within the Faculty of Mathematics, Informatics and Natural Sciences at the University of Hamburg. Her research focuses on computational systems biology, integrating multi-omics data with mechanistic models and machine learning to address challenges in systems medicine. She holds a PhD in Bioprocess Engineering from the Max Planck Institute for Dynamics of Complex Technical Systems and a Master’s in Biosystems Engineering from Otto von Guericke University Magdeburg. Her work includes experimental studies on adenoviral vector production and mathematical modeling of virus replication dynamics.

Her research interests span systems biology, virology, and bioprocess optimization. Key projects include analyzing defective interfering particles in influenza viruses, modeling virus-host interactions, and developing algorithms for differential co-expression analysis (e.g., DRaCOon). She also explores metabolic dysregulation in diabetic bone regeneration and proteomic biomarker discovery for bone-related diseases.

Recent work emphasizes computational methods like FedProt for federated proteomic analysis and ProHarMeD for drug repurposing. Her publications highlight contributions to normalization techniques in proteomics, patient stratification via UnPaSt, and mechanistic modeling of viral dynamics.

No scientific awards or grants are explicitly listed. She advises no students, though her group contributes to collaborative research projects. Her lab, Cosy.Bio, focuses on systems medicine applications and interdisciplinary approaches to biomedical challenges.