As a biomechanics and wearable robotics researcher, my main field of interest is the science of human and robotic 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 approximately five years (for 2026). Unfortunately, the authorities' ability and willingness are limited, as choosing the right measures requires considering their potential to reduce environmental impact, and this is not trivial. Our goal is to model different measures, their impact, and interactions   to provide a  decision-making tool for the authorities