Andreas Petrides

Andreas Petrides

Position: PhD Student

Position: PhD Student

E-mail: ap650 [@] cam.ac.uk

E-mail: ap650 [@] cam.ac.uk

Office: BN4-81

Office: BN4-81

Thesis Title: Advanced Mathematical Modelling Techniques in Biochemical and Biomedical Systems

Thesis Title: Advanced Computational Modelling Techniques in Biochemical and Biomedical Systems

Supervisor: Dr Glenn Vinnicombe

Supervisor: Dr Glenn Vinnicombe

Background

Background

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, focusing in applying control theory in biological systems, particularly at the molecular level.

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, focusing in applying control theory in biological systems, particularly at the molecular level.

Research Interests

Research Interests

Biological Networks, Continuous-time Markov chains, Graph theoretical approaches to probability

Biological Networks, Continuous-time Markov chains, Graph theoretical approaches to probability

Publications

Publications

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., 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

http://www.mathsportinternational2015.com/uploads/2/2/2/4/22242920/mathsport2015proceedings.pdf

http://www.mathsportinternational2015.com/uploads/2/2/2/4/22242920/mathsport2015proceedings.pdf

Poster Presentations

Poster Presentations

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

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