Research group Our lab works on integrating multi-omics datasets, machine learning, and large-scale mechanistic models to build clinically predictive computational models.
The overall theme of the Erdem Lab is to merge machine learning and mechanistic models with patient data to create clinically predictive computational models for cancer and other diseases.
Research Interests
Links
The pitches covered cancer and disease modeling and the role of sphingolipids in metabolic diseases.
