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Andreas Petrides

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Background

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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.

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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 on graphs for the analysis and design of biochemical networks.

Research Interests

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Biological Networks, Markov chains, Graph theoretical approaches to probability, Linear Algebra

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Markov chains and models, Graph theoretical approaches to probability, Linear Algebra, Non-linear control, Biological Networks

Publications

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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

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Petrides A and Vinnicombe G. Enzyme Sequestration by the Substrate and the consequent drive towards Bistablity/Bimodality: An Analysis in the Deterministic and Stochastic Domains- PLOS Computational Biology (Under review)

Petrides A. and Vinnicombe G. Understanding the genetic toggle switch phenomena using a discrete 'nullcline' construct inspired by the Markov chain tree theorem. Proceedings of the 56th IEEE Conference on Decision and Control (CDC), Melbourne, Australia, December 2017 (To appear)

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

Poster Presentations

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Office: BN4-81

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

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Thesis Title: Stochastic tools for the analysis and design of biochemical networks

Supervisor: Dr Glenn Vinnicombe

Background

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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.

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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.

Research Interests

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

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Biological Networks, Markov chains, Graph theoretical approaches to probability, Linear Algebra

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

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28 Nov 2016 - ap650

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

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

Supervisor: Dr Glenn Vinnicombe

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Supervisor: Dr Glenn Vinnicombe

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Background

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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.

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Research Interests

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Research Interests

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Biological Networks, Non-linear control, Optimisation, Sports applications

Publications

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

Publications

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Petrides A., Purell 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

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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

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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

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

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Background

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

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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

Biological Networks, Non-linear control, Optimisation, Sports applications

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Thesis Title: Investigating the dynamics of biological networks - External signal to internal cell state modulation

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

Supervisor: Dr Glenn Vinnicombe

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12 Nov 2015 - ap650

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Andreas Petrides

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Background

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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 in Control Engineering, focusing in applying control theory in biological systems, particularly at the molecular level. Andreas is an A.G. Leventis scholar and recipient of an EPSRC studentship.

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

Research Interests

Biological Networks, Non-linear control, Optimisation, Sports applications

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Thesis Title: Control theory and Modelling in biological and biochemical systems

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Thesis Title: Investigating the dynamics of biological networks - External signal to internal cell state modulation

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Supervisor: Dr Glenn Vinnicombe

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Supervisor: Dr Glenn Vinnicombe

Background

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23 Jul 2015 - ap650

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Background

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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 in Control Engineering, focusing in applying control theory in biological systems, particularly at the molecular level. Andreas is also an A.G. Leventis scholar.

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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 in Control Engineering, focusing in applying control theory in biological systems, particularly at the molecular level. Andreas is an A.G. Leventis scholar and recipient of an EPSRC studentship.

Research Interests

Biological Networks, Non-linear control, Optimisation, Sports applications

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07 Jul 2015 - ap650

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

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Office: BN4-85

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Office: BN4-81

Thesis Title: Control theory and Modelling in biological and biochemical systems

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Biological Networks, Non-linear control, Optimisation, Sports applications

Publications

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Petrides A., Purell 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

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Petrides A., Purell 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

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Andreas Petrides

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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 in Control Engineering, focusing in applying control theory in biological systems, particularly at the molecular level. Andreas is also an A.G. Leventis scholar.

Research Interests

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Control at the genomic scale, Networks, Non-linear control, Optimisation

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Biological Networks, Non-linear control, Optimisation, Sports applications

Publications

Petrides A., Purell 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

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

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Thesis Title:

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Thesis Title: Control theory and Modelling in biological and biochemical systems

Supervisor: Dr Glenn Vinnicombe

Background

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

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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 in Control Engineering, focusing in applying control theory in biological systems, particularly at the molecular level. Andreas is also an A.G. Leventis scholar.

Research Interests

Control at the genomic scale, Networks, Non-linear control, Optimisation

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Control at the genomic scale, Networks, Non-linear control, Optimisation

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Background

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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 in Control Engineering, focusing in applying control theory in biological systems, particularly at the molecular level. Andreas is an A.G. Leventis Foundation scholar as well as recipient of a full EPSRC studentship.

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

Research Interests

Control at the genomic scale, Networks, Non-linear control, Optimisation

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Andreas received his BA(Hons) and MEng degrees in 2014 from the University of Cambridge (Trinity College) in Electrical and Information Sciences (Engineering Tripos). He is currently a Ph.D. candidate in Control Engineering, focusing in applying control theory in biological systems, particularly at the molecular level. Andreas is an A.G. Leventis Foundation scholar as well as recipient of a full EPSRC studentship.

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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 in Control Engineering, focusing in applying control theory in biological systems, particularly at the molecular level. Andreas is an A.G. Leventis Foundation scholar as well as recipient of a full EPSRC studentship.

Research Interests

Control at the genomic scale, Networks, Non-linear control, Optimisation

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Andreas received his BA(Hons) and MEng degrees, both from the University of Cambridge (Trinity College) in Electrical and Information Sciences (Engineering Tripos). He is currently a Ph.D. candidate in Control Engineering, focusing in applying control theory in biological systems, particularly at the molecular level.

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Andreas received his BA(Hons) and MEng degrees in 2014 from the University of Cambridge (Trinity College) in Electrical and Information Sciences (Engineering Tripos). He is currently a Ph.D. candidate in Control Engineering, focusing in applying control theory in biological systems, particularly at the molecular level. Andreas is an A.G. Leventis Foundation scholar as well as recipient of a full EPSRC studentship.

Research Interests

Control at the genomic scale, Networks, Non-linear control, Optimisation

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Andreas received his BA(Hons) and MEng degrees, both from the University of Cambridge (Trinity College) in Electrical and Information Sciences (Engineering Tripos). He is currently a Ph.D. candidate in Control Engineering, focusing in applying control theory in biological systems, particularly at the molecular level.

Research Interests

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Control at the genomic scale, Networks, Non-linear control, Optimisation

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