Dr Jack Simpson
Jack is a Director at Endgame Economics, a boutique consulting firm that specialises in providing quantitative advice in the energy sector. He has over a decade of experience working as a consultant, data scientist, and software developer.
He holds a PhD in computational biology, and has extensive expertise applying mathematical optimisation and machine learning techniques to solve problems in the energy sector.
@Jack_Simpson
Session
The purpose of this presentation is to introduce the audience to the field of mathematical optimisation - what it is, how it differs from machine learning, and the types of problems it is best suited to solve.
The first section will provide this context and background - describing the anatomy of an optimisation problem, and what the model building process looks like. We will touch on the characteristics common to optimisation problems seen across multiple industries.
We will then build a simple optimisation model together, demonstrating how the model building process compares to the machine learning approach.
Finally, we will end by exploring some of the most fascinating applications of mathematical optimisation in industry, focussing on the characteristics that the audience can map to challenges that are specific to their own industry.