I am studying for a PhD in Machine Learning at the University of Cambridge. My supervisor is Carl Edward Rasmussen and my adviser is Zoubin Ghahramani. I am currently working on adaptive control for nonlinear systems when there is a high level of uncertainty about the system dynamics.

Prior to starting my PhD, I worked as an engineer at the McLaren-Mercedes Formula 1 Team (in Woking, UK) and at Airbus (in Toulouse, France). During these years I have tackled problems in areas such as control theory, design of experiments, optimization and scientific computing. I have relied heavily on mathematical methods and I have grown an appreciation for the key importance that uncertainty has when dealing with real world systems. I believe that statistical Machine Learning provides an excellent practical framework to treat uncertainty and I am very interested in its introduction into engineering branches traditionally linked with a deterministic view of the physical world.

  ● Learning to Control: State Estimation, Research Talk, 30 April 2012. [pdf]

  ● Statistical Inference for Engineers, Seminar, 19 March 2012. [pdf]

  ● An Overview of Control Theory, Machine Learning RCC, Cambridge, 12 January 2012. [pdf]