ap650 [@] cam.ac.uk
Thesis Title: Stochastic tools for the analysis and design of biochemical networks
Supervisor: Dr Glenn Vinnicombe
Andreas received his BA(Hons) and MEng degrees in 2014 from the University of Cambridge (Trinity College) in Electrical and Information Sciences (Engineering Tripos). As an undergraduate he received the G-Research and The Technology Partnership (TTP) Awards, as well as a Gold medal (2nd place in Europe) and the 'Best Experimental Measurement Approach Award', representing the university at the International Genetically Engineered Machines Competition (iGEM). He is currently a Ph.D. candidate, creating stochastic tools for the analysis and design of biochemical networks.
Biological Networks, Markov chains, Graph theoretical approaches to probability, Linear Algebra
Petrides A., Purnell A.J. and Vinnicombe G. A new algorithmic methodology for assessing, and potentially predicting, racing cyclists’ fitness from large training data sets: Proceedings of the fifth international conference on Mathematics in Sport, June 29 - July 1, 2015, Loughborough University, United Kingdom
. pages 149-156 DOI:10.13140/RG.2.1.2449.5201
Petrides A. and Vinnicombe G. Investigating the enzyme sequestration's effects on multisite protein phosphorylation in the deterministic and the stochastic domains, September 16 - September 20 2016, 17th International Conference of Systems Biology