Luthais McCash - Honorary Industrial Fellow

L McCashPersonal details

I have no formal office hours as I visit the Department to lecture on a periodic basis.

I can best be contacted at lm460@leicester.ac.uk

Luthais is an Elected Member of the London Mathematical Society – elected in June 2019, and was conferred a Fellow of the Royal Statistical Society in August 2019.

Teaching

PA4602 – Scientific Data Analysis: Lecturing and examining component on Neural Networks & Machine Learning

MA3511 – Communicating Mathematics: Lecturing on Industrial Applications of Mathematics, and Co-supervising student projects

MA1014 – Calculus & Analysis: Lecturing Second Order Linear Differential Equations and Practical Applications

Research

Luthais McCash is an Honorary Industrial Fellow at the Department of Mathematics, University of Leicester. His main area of research is within applied mathematics and mathematical modelling.

From an industrial perspective, his current consultancy surrounds itself with analysis of stochastic problems through understanding inference from large volumes of data. His work seeks to understand random or stochastic processes, with particular reference to predictive modelling of demand and price in the energy sector. He is an industrial consultant advising energy companies on predictive modelling. He also aims to develop mathematical and computational solutions to industrial problems.

His interests are broad but generally speaking, they deal with understanding randomness. Current industrial work involves:

  • Modelling and predicting natural gas prices
  • Predictive modelling of stochastic behaviours
  • Understanding the effect of noise in dynamic systems
  • Optimisation problems

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Contact details

Department of Mathematics
University of Leicester
University Road
Leicester LE1 7RH
United Kingdom

Tel.: +44 (0)116 229 7407

Campus Based Courses

Undergraduate: mathsug@le.ac.uk
Postgraduate Taught: mathspg@le.ac.uk

Postgraduate Research: pgrmaths@le.ac.uk

Distance Learning Course  

Actuarial Science:

DL Study

Student complaints procedure

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