My name is Guy-Bart STAN. I am a permanent academic member of staff in the Department of Bioengineering and the head of the Control Engineering Synthetic Biology group in the Synthetic Biology Hub of Imperial College London (U.K.).
I am also Co-Director of Research, a member of the Department of Bioengineering Research Committee, of the Equality and Departmental Culture Committee (EDCC), and of the Faculty of Engineering Research Committee.
I am the recipient of the prestigious EPSRC Engineering Fellowship for Growth in Synthetic Biology for the period January 2015 - January 2020. I am also a Chartered Engineer (IET CEng) and a member of the The Institution of Engineering and Technology (The IET) and the The Institute of Electrical and Electronics Engineers (The IEEE).
I joined Imperial College in December 2009 as a Lecturer and got promoted to Reader in August 2014. From January 2006 until December 2009, I worked in the Control Group of the University of Cambridge (U.K.) as a Research Associate with support from EPSRC (EP/E02761X/1) for the period January 2007 - January 2010 and support from a European Commission FP6 Marie-Curie Intra-European Fellowship (EU FP6 IEF 025509 GASO) for the period January 2006 - January 2007. From January 2006 until December 2009, I was the weekly seminar organiser for the Cambridge University Control Group. From June to December 2005, I worked as Senior DSP Engineer at Philips Applied Technologies. I received my electrical engineering degree (with a speciality in electronics) in June 2000 and my Ph.D. degree (in Applied Sciences with a focus on Analysis and Control of Nonlinear Dynamical Systems) in March 2005, both from the University of Liège, Belgium. During my PhD, I mainly worked in the Nonlinear Systems and Control group at the Systems and Modeling research unit of the University of Liège and was supported by a PhD Research Fellowship from the F.N.R.S. (the Belgian National Fund for Scientific Research).
My webpage in the Department of Bioengineering of Imperial College London (U.K.).
My webpage in the Control Group of the University of Cambridge (U.K.).
For a quick profile overview please have a look at this link from Imperial Tech Forsesight.
An introduction to some of the things I am currently interested in can be found on this video of a talk I gave at the World Economic Forum Summer Meeting 2015:
I am passionate about developing new concepts and methods and applying the produced results to real-life problems. Currently, my main research interests are: Nonlinear Dynamical Systems Analysis and Control, Synthetic Biology, Systems Biology.
I am currently interested in the modelling, analysis, design, control, and implementation of cellular systems (in particular biomolecular feedback systems and gene regulatory networks); and in applications of systems and control engineering methods to the problem of robustly and optimally controlling natural or synthetic biology systems, e.g., robust control of gene regulation networks or optimal drug cocktails scheduling for chronic-like diseases treatments (e.g. cancer and HIV).
You can download a pdf version of my CV here.
For a visual timeline of my career you can follow this link on Vizualize.me.
For a citations report of my published papers you can follow this link on Google Scholar Citations or this link on ResearchGate.
Interested in working with us in design and control of synthetic biology systems at the Department of Bioengineering of Imperial College London? There are always positions available for outstanding prospective PhD students and postdoctoral staff.
Hereafter, you will find links which provide you with information about openings and how to apply. Please email us if you wish to join the Stan Group.
We have a postdoc position available on systems identification, modelling and biomolecular control in synthetic biology.
The goal of this Research Associate position is to undertake research into model identification, and analysis & design of biomolecular controllers for synthetically engineered living cells.
The project will be carried out in the "Control Engineering Synthetic Biology" group at the Department of Bioengineering of Imperial College London. The main goal of this Research Assistant/Associate position will be to carry out a programme of research in the automatic identification of mathematical models of biomolecular networks in living cells (mainly bacteria such as E. coli and fungi such as yeast S. cerevisiae), and the mathematical/computational modelling, analysis, and design of deterministic and stochastic biomolecular controllers in such living cells.
The work-plan requires a high level of integration between wet-lab and in silico experiments, under the overall supervision of Dr Guy-Bart Stan. This position will contribute to the "COSY-BIO" project, which is funded by the H2020-FETOPEN research programme and based within the Department of Bioengineering at Imperial. This project is in collaboration with colleagues in the Faculty of Medicine at Imperial and at the Universities of Edinburgh, Bristol, Naples, Oxford, ETH, and INRIA. COSY-BIO aims at developing theoretical and experimental frameworks, and innovative technological tools to engineer reliable biological systems that are robust, despite their individual components being noisy and unreliable, by translating principles of control engineering to molecular and cell biology.
We seek a highly motivated individual to fill this post, in possession of a PhD or equivalent demonstrating expertise in the analysis and/or design/control of deterministic and/or stochastic dynamical systems. The ideal candidate will have a background in control engineering/biophysics/mathematics, previous experience with system identification of biological systems, including gene regulatory networks and biochemical reaction network in living cells (e.g. bacteria such as E. coli) and/or with biomolecular feedback analysis and design. Experience with modelling, analysis and design/control of synthetic biology systems is highly desirable. The ideal candidate would demonstrate ability to investigate such biological systems both analytically and through numerical methods and/or simulation, and would previously have developed computational tools for the use of collaborators.
This post is offered on a full time contract with funding up to 27 months.
Closing date for applications: 29 September 2017 (midnight BST).
For further details see: https://www4.ad.ic.ac.uk/OA_HTML/OA.jsp?OAFunc=IRC_VIS_VAC_DISPLAY&OAMC=R&p_svid=52541&p_spid=1855505
Informal enquiries can be made by emailing us.
If you are a highly motivated and dynamic postdoctoral researcher with experience in synthetic biology, biomathematics, biophysics, or modelling and control of biological systems and you are looking to join us, please email us with your CV. Information about competitive PostDoctoral Fellowships is available hereafter.
If you would like to apply for a PostDoctoral Fellowship to work in my group, this list of PostDoctoral Fellowships might be useful. In particular, if you want to conduct your own research, which is aligned with the core research work in my group, I can sponsor you for an Imperial College Research Fellowship for 4 years. Imperial College's prestigious Research Fellowships financially supports the brightest and very best early career researchers from across the world, providing a level of commitment and support that is rare from a UK university. We are also welcoming and supporting outstanding postdocs applying for a Marie Sklodowska-Curie Individual Fellowship. Please contact me if you are interested.
Also, Dr Nick Jones has compiled a list of fellowships that you might also want to consider.
Another list of independent PostDoc funding (in Biology) has been compiled by Dr Dieter Lucas.
Information about the Imperial College PhD Scholarship scheme is available here. Additionally, information about all Scholarship Schemes (including a scholarships search tool) is available here. Furthermore, Ph.D. studentships in the Department of Bioengineering are advertised here. Information about the PhD programme in the Department of Bioengineering and how to apply can be found here. For general information on the tuition fees and cost of living in London, please read this link. For other sources of funding you can also look at here and here (BioEngineering funding) and here (fees and funding). Finally, there are also other PhD scholarship schemes such as for example the Crick PhD Programme.
Please check the College entry requirements carefully before applying.
For support of research-related travel expenses you can check this link.
The current list of group members is available at the people section of our group website.
For more information about the various students I have supervised see the Supervisory Experience section of my CV.
As part of our research, we regularly develop software tools. Most of these can be downloaded directly from my group website in the section Research Projects.
Synthetic Biology: a Primer (Revised Edition), G. Baldwin, T. Bayer, R. Dickinson, T. Ellis, P. Freemont, R. Kitney, K. Polizzi, N. Rose, G.-B. Stan, Imperial College Press, Oct. 2015, ISBN-10: 1783268794, ISBN-13: 978-1783268795.
A Systems Theoretic Approach to Systems and Synthetic Biology I: Models and System Characterizations, Eds.: V. Kulkarni, G.-B. Stan, K. Raman, Springer, July 2014, ISBN: 978-94-017-9040-6 (Print), 978-94-017-9041-3 (Online). Click here for amazon.co.uk link.
A Systems Theoretic Approach to Systems and Synthetic Biology II: Analysis and Design of Cellular Systems, Eds.: V. Kulkarni, G.-B. Stan, K. Raman, Springer, July 2014, ISBN: 978-94-017-9046-8 (Print), 978-94-017-9047-5 (Online). Click here for amazon.co.uk link.
Seminars in the Department of Bioengineering at Imperial College London.
Seminars at the Cambridge University Control Group on talks.cam.
Imperial's 2016 iGEM team - Ecolibrium (Lead Supervisor with Dr Karen Polizzi).
Imperial's 2014 iGEM team - Aqualose (Supervisor on the modelling side of the project).
Imperial's 2013 iGEM team - Plasticity (Supervisor on the modelling side of the project).
Imperial's 2011 iGEM team - Auxin (Supervisor on the modelling side of the project).
Imperial's 2010 iGEM team - Parasight (Supervisor on the modelling side of the project).
The title of my Ph. D. thesis is Global analysis and synthesis of oscillations: a dissipativity approach.
Abstract:
The main theme of this research concerns the global (as opposed to local) analysis and synthesis of stable limit cycle oscillations in dynamical systems. The global analysis of oscillations in systems and networks of interconnected systems is a longstanding problem. Dynamical systems that exhibit robust nonlinear oscillations are called oscillators. Oscillators are ubiquitous in physical, biological, biochemical, and electromechanical systems. Detailed models of oscillators abound in the literature, most frequently in the form of a set of nonlinear differential equations whose solutions robustly converge to a limit cycle oscillation. Local stability analysis is possible by means of Floquet theory but global stability analysis is usually restricted to simple (second order) models. For these simple models, global analysis is performed by using specific low dimensional tools (phase plane methods, Poincaré-Bendixson theorem, etc.) which do not generalise easily to complex (high dimensional) models. As a consequence, global analysis of complex models is quite difficult since there currently exists no general analysis method. This lack of general analysis methods typically forces complex models of oscillators to be studied only through numerical simulation methods. Although numerical simulations of these models may give a first insight into their behaviour, a more in-depth understanding is generally impeded by the complexity of the models and the challenge of rigorous global stability analysis. Moreover, even in the case of simple models, the low dimensional methods used for their analysis do not generalise to the analysis of a network of interconnected oscillators. These considerations show the need for developing general methods that allow the global analysis of oscillators, either isolated or in interconnection. This thesis constitutes the first step towards the development of such a unified oscillators theory. In this aim, this thesis considers an extension of the dissipativity theory introduced by Willems. Nowadays, dissipativity is considered as one of the most general nonlinear (global) stability analysis method for equilibrium points in dynamical systems and networks of interconnected dynamical systems. In this thesis, we show that dissipativity theory can be extended to allow (global) stability analysis of limit cycles in many Lure-type models of oscillators and networks of oscillators. These Lure-type models of oscillators have been named passive oscillators. As the main contributions of this research, we show the implications of this extended dissipativity theory for
Furthermore, based on these results, we also propose a limit cycle oscillations synthesis method based on the design of a nonlinear parametric proportional-integral controller aimed at the generation of limit cycle oscillations with large basins of attraction in stabilisable nonlinear systems.
You can download here a summary of my (Ph.D.) F.N.R.S. research project Research.pdf (in french).
The translated title of my master thesis is Creation of an autonomous impulse response measurement system for rooms and transducers with different methods - "Réalisation d'une chaine de mesure autonome de la réponse impulsionnelle de salle selon différentes méthodes" (the manuscript is in french).
Abstract:
In this thesis, we compare four of the most used impulse response measurement techniques: Maximum Length Sequence (MLS), Inverse Repeated Sequence (IRS), Time Stretched Pulses, and Logarithmic Sinesweep. These methods are generally used for the measurement of the impulse response of acoustical systems such as transducers, rooms, and binaural impulse responses. The choice of one of these methods depending on the measurement conditions is critical. Therefore an extensive comparison has been realised. This comparison has been done through the implementation and realisation of a complete, fast, reliable, and cheap measurement system. In particular, these different methods have been compared with respect to best achievable signal-to-noise ratio, ease of use, harmonic distortion rejection/measurement, and robustness to measurement conditions (temperature change, impulsive and white noise, etc.). It is shown that in the presence of non white noise, the MLS and IRS techniques are more appropriate. On the contrary, in quiet environments the Logarithmic Sinesweep method is the most accurate: it allows for a direct improvement of the signal-to-noise ratio of up to 30 dB over the other methods, which can be critical for audio virtual reality systems such as auralization systems. Indeed, capturing binaural room impulse responses for high-quality auralization purposes requires a signal-to-noise ratio of more than 90 dB which is unattainable with other measurement techniques due to inherent nonlinearities in the measurement system (especially the loudspeaker), but fairly easy to reach with logarithmic sinesweeps due to the possibility of completely rejecting (and measuring) harmonic distortions. As a consequence, the sinesweep method opens the way for the development of high-quality auralization and sound spatialisation systems, which constitute the basis for advanced audio virtual reality systems.