I currently give tutorials across the first and second years of the undergraduate course in engineering science. In both years I am responsible for teaching both fundamental mathematical subjects (e.g. linear algebra, calculus, differential equations, etc) and applied topics relating to mechanical engineering (e.g. materials science, structures, dynamics, etc).
I am a member of the
Control Group in the Department of Engineering Science, where I am interested
in problems relating to control theory and numerical optimization. The majority
of my time at Oxford has been spent investigating fast optimization methods for
optimal control of hybrid powertrains, a problem where the fuel consumption of
a hybrid electric vehicle can be dramatically reduced by balancing the driver’s
power demand across both power sources throughout a given journey. More
recently I have started working on problems at the intersection of control and
machine learning, and am currently investigating the use of control theory in
model-based reinforcement learning.