As a biomechanics and warble robotics researcher, my main field of interest lies in the science of human and robotics motion. My research is based on a multi-method approach, and on integrating theoretical and empirical insights. The theoretical methods used in my research include simulation, modeling, optimization, and statistics. Empirically, I perform experiments using measures of movement and force, and physiological indicators. My research has implications for , wearable robots, clinical diagnostics and rehabilitation, ergonomics, and human living environments

Optimizing urban and state metabolism – developing a decision-making tool

If we keep at the current rate, humanity's carbon dioxide emission budget - the amount of greenhouse gases that can be emitted to the atmosphere before the average temperature on Earth rises by more than 1.5 degrees - is going to be used up within eight years. Unfortunately, the ability and willingness of authorities is limited because choosing the right measures requires considering their potential contribution to reducing environmental impact and is not trivial. Our goual is to model and to solve the as on optimization problem to provide a  decision-making tool for the authorities