A little bit about me

I am mathematician who is accepting the challenge of becoming a full fledged career academic. I have already had a bit of a taste at this career with a three year posting at the Zuse Institute Berlin (ZIB). Now I have moved back into a university to work in the Management Science department of the Lancaster University Management School. This move has come about after being awarded an EPSRC Fellowship to fund my research for three years, starting from March 2017. This fellowship has enabled me to enter into a great department to continue developing my research profile. I am really excited about spending the next three years in Lancaster.

My three years at Lancaster Univeristy will be spent investigating decomposition methods for large-scale optimisation problems in transportation. In particular, I will be developing a Benders' decomposition solver, using SCIP and GCG, that will incorporate many new algorithmic enhancement techniques. In addition, I will be collaborating with the OR-MASTER project by applying decomposition algorithms to solve airport slot allocation problems. I will also be engaging with the Managemnt Science department in applying decomposition to various applied optimisation problems.

I would like to provide just as a little bit of my background (all of the specific details can be found throughout this website). Just prior to my posting at Lancaster Univeristy, I was working within the SCIP development team at ZIB. In this role I was engaged in projects that include the development of the internal parallelisation for SCIP, investigating the use of decomposition for the simplex method (implemented in SoPlex) and the development of a general purpose Steiner tree problem solver (SCIP-Jack). This time helped me gain experience in high quality software development that is necessary for developing and maintaining a state-of-the-art MIP/MINLP solver.

Prior to my time at ZIB I worked briefly at the University of New South Wales, Australia (UNSW) as a postdoctoral fellow applying integer programming techniques to the analysis of HIV amino acid structures. The goal of this work was to identify specific locations on the HIV amino acid sequence that could be targeted by a vaccine. The end result was the development of a large-scale mixed integer program that was solved to find a connected subgraph solution.

This whole academic career kicked off with the awarding of my PhD in mathematics from UNSW in January 2014. Very fortunately, I was able to graduate from my PhD with my wife in October that same year, my wife having completed her PhD in climate science. My PhD applied the technique of recoverable robustness to airline planning applications. More generally, I formulated and solved integer programming problems that attempted to make the allocation of aircraft (and crew) to flights less susceptible to disruptions, such as bad weather or late arriving aircraft, on a daily basis.

The specific details about myself can be found throughout this website. I have also a blog that I update regularly with topics related to early career researchers and optimisation. I am also on Twitter (@sj_maher), where I try to tweet about relevant and interesting topics. I hope that you have the time to browse this site and read some of my blog posts.

© 2018 Stephen J Maher
Template design by Andreas Viklund with modifications by Stephen J Maher.
This page was last updated Saturday, 24 March 2018.