Jamie Mair
Jamie Mair is a Research & Teaching Fellow at the University of Nottingham, where he instructs the Reinforcement Learning strand of the Machine Learning in Science Master's programme. Throughout his research career, Jamie has advocated for the use of Julia in academic research. He has delivered several internal talks and presentations aiming to introduce Julia to a wider audience. These resources have culminated and been developed into in a comprehensive lecture series, designed for postgraduate students, focusing on High Performance Computing using Julia.
Jamie received his PhD in Machine Learning and Statistical Physics, along with his BSc in Theoretical Physics from the University of Nottingham.
Sessions
In this talk, we will introduce our new package, MuJoCo.jl, bringing the advanced physics simulator MuJoCo to fellow Julia users. We will highlight the features that this package gives to users and give an example of how to make best use of the package and its visualiser.
Would you like to have access to your favourite C/C++ library from Julia, but don't know where to start? Follow this case-study for the development of MuJoCo.jl, which highlights the steps and tools required to create one of these packages.