Projects

Data-driven Dynamic Modeling of Signaling Networks in Triple-Negative Breast Cancer

An ongoing research project on inferring kinase signaling dependencies from time-resolved phosphoproteomic data and embedding them into mechanistic ODE models for dynamic simulation and perturbation analysis.

Machine Learning for Dynamical Systems

Future projects exploring modern machine learning approaches for biological and physical dynamical systems.

In development.