Kevin Burrage

PSoup is an R package that converts knowledge graphs into qualitative, parameter-free models to predict biological network behavior under perturbations.

The paper analyzes directional heritability across trait directions and shows how matrix geometry influences evolutionary constraint using empirical G-P matrix data.

The paper develops a mechanistic model to resolve debates on how receptor trafficking and membrane organization influence Wnt/β-catenin signaling, revealing a compensatory recycling mechanism and the role of ordered domains in signalosome stability.

This paper models Multiple Myeloma treatment with Daratumumab, incorporating drug evasion and off-target effects, and uses optimal control to show increased treatment duration and costs.

This paper reviews optimal control theory in systems biology, implements the forward-backward sweep method, and accelerates its convergence using existing techniques.

This paper analyzes identifiability in stochastic differential equation models using case studies and synthetic data, showing they can extract more parameter information than deterministic models.

The paper develops a theoretical framework for understanding bacterial persistence as a hedging strategy by integrating optimal control theory from finance and mathematical biology.

This paper applies optimal control theory to design combination therapies for acute myeloid leukaemia by analyzing control dynamics and pay-off functions.

The paper models dengue transmission from humans to mosquitoes and shows that administering defective virus reduces viral load and inhibits transmission.

The paper evaluates the effect of defective interfering particles on dengue virus within-host dynamics using population of models to estimate their therapeutic potential.

This paper develops optimal chemotherapy strategies for AML by incorporating immune response into a stem cell model and applying optimal control theory.