Mohammed Amin Abdullah

London, UK

Contact: email.mohammed at

Last updated 14 July 2020


Mathematics and algorithms for decision-making, optimisation (numerical and combinatorial), probabilistic modelling (Gaussian processes, Graphical models, other Bayesian techniques), statistical inference, optimal control, model-predictive control (MPC).

I am interested in both the theory and real-world application of these areas.


In academia and industry, I have done theoretical research and practical implementation of the following: Robust reinforcement learnining, model-based reinforcement learning integrating safety through risk constraints, deep learning, combinatorial optimisation, linear programming, convex optimsation, non-linear optimisation, network flows, stochastic processes, probabilistic modelling, time-series prediction, statistical inference. Between degrees, I worked as a software developer.