Our lab studies how cells work and how they respond to changes in their environment. We combine experiments with advanced computer modelling to uncover the basic rules that govern how cells organise themselves and function.
In our computational work, we build models based on known biological mechanisms and enhance them with machine learning to find new patterns in data. In our experimental work, we use automated lab techniques and high-throughput assays to measure how individual cells respond to different treatments on a large scale. By combining these approaches, we study how proteins send signals and control cell states, looking at everything from how single proteins behave to how entire cells interact with each other. This helps us understand processes like how cells grow, divide, and develop into different types.
Our goal is to revisit and test classic ideas in biology – such as how proteins change shape to perform their functions, how chemical reactions happen in cells, and how cells decide their fate – using modern, large-scale data. Through this, we aim to discover new biological mechanisms and build models that not only explain existing data but also predict how cells behave in health and disease.