Andrew M. Webb

I am a research associate in the computer science department of the University of Manchester. I'm currently working on the integration of efficient semantic segmentation into state-of-the-art SLAM (simultaneous localisation and mapping) systems as part of the PAMELA project.

My PhD research was on selection for evolvability in evolutionary algorithms, where evolvability is defined as the 'capacity for adaptive evolution'. I used state space models to estimate current evolvability values of multiple competing (and non-mixing) populations, based on a series of noisy estimates of evolvability. I then employed a form of group selection to select populations with high estimated evolvability values.

I've also done some work in artificial life, studying self-reproducing automata.

I maintain a mailing list primarily (but not exclusively) for researchers at the University of Manchester who are interested in deep learning. The list is for discussing new research, troubleshooting models/code, organising occasional seminars, advertising external events, etc. You can subscribe to the list here.

My CV can be found here.

News (Tweets)


  • Andrew M. Webb (2016). On Selection for Evolvability. PhD thesis. School of Computer Science, University of Manchester, UK. (Supervisors: Prof. Joshua Knowles and Dr Julia Handl. Examiners: Dr Simon Powers and Dr Jonathan Shapiro.)
  • Andrew M. Webb, Julia Handl, and Joshua Knowles (2015). How Much Should You Select for Evolvability?, Proceedings of the European Conference on Artificial Life (ECAL) 2015, MIT Press
  • Andrew M. Webb and Joshua Knowles (2014). Studying the Evolvability of Self-Encoding Genotype-Phenotype Maps, Proceedings of the International Conference on the Synthesis and Simulation of Living Systems (ALIFE) 2014, MIT Press

Contact Details

School of Computer Science
University of Manchester
Manchester, M13 9PL, UK

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Copyright © 2014 Andrew Webb