I develop underlying algorithms that power optimal decision-making under uncertainty. At Imperial, I lead a research team of computer scientists, engineers, and applied mathematicians. My research focuses on the type of computational optimisation challenges arising in industry, for example scheduling in manufacturing or experimental design in chemicals research. I also actively develop the interface between operations research and machine learning.

As a professor at Imperial, I collaborate with super smart, hard-working, and creative students. Using both traditional lectures and open-ended projects, I mentor and teach Imperial students as they prepare for their technical careers.

I also hold a post as an Amazon Scholar.

Domain Knowledge
Mixed-integer optimisation | Nonlinear optimisation | Black-box optimisation | Robust optimisation | Process systems engineering | Experimental design | Scheduling