Qualification → PhD
Area of Interest →
My research centers on advancing learning-driven autonomy in decision systems that must perform reliably amid dynamic and uncertain environments. I develop a unified framework that weaves together perception, prediction, and planning, grounded in the principles of dynamical systems, statistical learning, and optimization. The vision is to engineer autonomous systems that are not only safe and robust, but also interpretable and readily deployable—spanning applications from intelligent mobility to the modeling of complex socio-economic dynamics.
Field of Interest → Learning driven autonomy in intelligent mobility and modelling complex socio-economic dynamics.