Theoretical biophysics and computational biology
Life is nonlinear, dynamic, out-of-equilibrium, adaptive, and highly creative. We use analytical, numerical and simulation techniques to understand processes that govern living systems. We develop methods that help us predict and assess dynamical events in development, self-assembly and collective behavior. With the results we study how we can co-opt elements from living systems for gene editing or drug delivery and try to understand and apply evolutionary principles.
Keywords: Signal pathways in gene regulation and development, Specificity, precision and plasticity, Information theory and signal processing
Keywords: Mechanistic modelling, Molecular machines, CRISPR/Cas, Sequence specificity and search, First-passage time theory, Dwell-time analysis
Keywords: Collective dynamics, Agent-based models, Continuum models, Tissue development, Bacterial colony growth, Tissue mechanics, Membrane mechanics, Membrane-cytoskeleton interactions, Cell growth and division
Keywords: Biomolecular interactions, Post-translational modifications, Molecular dynamics simulations, Omics data analysis, Machine learning
Keywords: Pattern formation in reaction-diffusion systems, (liquid-liquid) phase separation, Predictive methods for emergent structural, Mechanical and functional properties