User:Domenico Bellomo/CV: Difference between revisions

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       <span class="style3">Post-doc</span><br /></p></td>
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   Mekelweg 4<br />
   Mekelweg 4<br />
   2628 CD Delft (NL)<br />
   2628 CD Delft (NL)<br />

Revision as of 15:56, 11 November 2009

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Domenico Bellomo

Post-doc

</html> CV download <html> 

 Mekelweg 4

 2628 CD Delft (NL)

 Cell.       +31 (0)64 62 17008

 Home Tel.   +31 (0)15 27 82378

 Office Tel. +31 (0)15 27 81843

 E-mail      d.bellomo@tudelft.nl



Personal Information

 Date of Birth 

 Place of Birth 

 Nationality 

 Marital Status
 
 Home address 

 e-mail address 


May 5th, 1975

Bari, Italy

Italian

Married

Javastraat 65, 2585 AG Den Haag (NL)

domenico.bellomo@gmail.com


Research Interests

To gain a better understanding of the dynamics of the biochemical networks within the cell, we need to perturb the individual components of such networks, and to measure in vivo the corresponding response. I see synthetic biology primarily as a tool that can help in this effort to study the cell “from the inside”; and secondarily as a tool to re-engineer cellular functionalities according to some desired specifications. Two crucial steps in this direction are: (i) the design and experimental characterization of libraries of standard building blocks like switches, sensors, logic gates, oscillators, automata; (ii) and the development of methods for the analysis and robust design of such devices.
The latter issues are well posed only within an evolutionary perspective.

Work Experience 

 Jun 06–Present 

 Post-doc, Delft Bioinformatics Lab and Bioprocess Technology Group, Delft University

 of Technology, Delft, The Netherlands.

 Research: reconstruction of metabolic networks; relation between structure and dynamics in
 biochemical networks; analysis, design and standardization of synthetic networks.

 Other activities:
  • Initiator and supervisor of 2008 and 2009 TUDelft iGEM (International Genetically Engineered Machine competition) teams.
    iGEM 2008 results: golden medal for quality of work and "Best Wiki" prize;
    iGEM 2009 results: golden medal for quality and "Best Information Processing Project" prize.
  • Initiator and organizer of the biweekly NO-MEC meetings on metabolic networks modeling.
    •  Apr 05–May 06 

     R&D engineer, IHC systems B.V. , Sliedrecht, The Netherlands.
    
 Tasks: design of stochastic filters for on-line parameter estimation (e.g. Kalman filters, particle
 filters, etc.).
    
 Completed projects: grain-size estimation in water slurry mixture, anchor position estimation,
 overflow losses estimation, swing speed control.
    



    Education 

     Jan 01–Mar 05

     PhD in Electrical Engineering, , Politecnico di Bari, Bari, Italy.
    
 Main topic:  Lyapunov based design of adaptive fuzzy controllers for nonlinear servo-drives.
    
 Secondary project: design of a decision support system for the optimization of mechanical
 ventilation settings, in patients affected by acute respiratory syndrome

     Oct 02–Oct 03 

     Visiting student,Delft Center for Systems and Control, Delft University of Technology,  , Delft, The Netherlands.
    
 Research subject:on line identification of fuzzy models.
    

     Sep 94–Jul 01

     Laurea (BA & MSc) in Electrical Engineering, Politecnico di Bari, Bari, Italy.
    
 Thesis:Intelligent Control of Nonlinear Systems: a Fuzzy Logic Based Approach
    
   Graduation mark: 110/110 cum laude

     Sep 91–Aug 94 

     High School,Scientific Lyceum G. Salvemini, Bari, Italy.
    
 Thesis:Intelligent Control of Nonlinear Systems: a Fuzzy Logic Based Approach
    
   Graduation mark: 60/60



    Teaching Assistant Experience

  • Functional Genomics & Systems Biology (MSc-level), 2009
  • Advanced course in Bioinformatics (postgraduate level), 2008
  • Computer-Controlled Systems (MSc-level), 2002, 2003
    • Recently supervised MSc projects

  • B. van den Berg, (supervisors: D. Bellomo, M.J.T. Reinders), “Automated design of synthetic biological systems using standard parts”, Nov 2008- present.
  • P. van Nes (supervisors: D. Bellomo, D. de Ridder and M.J.T. Reinders), “Inferring dynamic properties of metabolic networks from their structural information”, Delft University of Technology, April 4 2008.
  • J. Yong-A-Poi (supervisors: E.P. van Someren, D. Bellomo and M.J.T. Reinders), “Adaptive least absolute regression network analysis improves genetic network reconstruction by employing prior knowledge”, Delft University of Technology, March 28 2008.
    • Selected postgraduate courses

  • ² 5th Cytoscape public symposium and developer retreat, Amsterdam, The Netherlands, Nov 2007.
  • Advanced course on applied genomics of industrial fermentation, Wageningen, The Netherlands, Oct 2006
  • Genome access course, Cold Spring Harbor Laboratory, New York, Nov 2005.
    • Computer skills 


     Tools: Latex, Office Packages MATLAB, COPASI, CellNetAnalyzer,
    
 Genedata, LabVIEW, dSPACE
    
 Languages: C, C++ Platforms Windows, Linux
    
 Wet-Lab literacy:
    
 Plasmid mini-prep, restriction and ligation (Bio-Brick standards), competent cells transformation,
    gel electrophoresis, PCR.
    Languages

    Italian
    English
    Dutch
    German 

     Fluent My native language.
    
 Fluent Speaking, reading, and writing.
    
 Intermediate Delftse methode beginners course: 94/100
    Basic Reading
    Hobbies


     Reading all kind of popular science books, novels, poetry and techno-thrillers; theater;
    music; traveling; playing soccer, swimming, table-tennis
    Publications

    Systems and Synthetic Biology


    [1b] O. M. J. A Stassen, R. J. J. Jorna, B. A. van den Berg, R. Haghi, F. Ehtemam, S. M.
    Flipse, J. A Kiers, M. J. L de Groot, I. E. Nikerel, D. Bellomo,“Toward tunable RNA
    thermo-switches for temperature dependent gene expression”, to be submitted.
    [2b] F. Menolascina, D. Bellomo, T. Maiwald, V. Bevilacqua, C. Ciminelli, A. Paradiso, and
    S. Tommasi, “Developing optimal input design strategies in cancer systems biology with
    applications to micro-fluidic device engineering”, BMC Bioinformatics 2009, in press
    [3b] P. van Nes, D. Bellomo, M.J.T. Reinders and D. de Ridder, “Stability from structure:
    metabolic networks are unlike other biological networks”, EURASIP Journal on
    Bioinformatics and Systems Biology, vol. 2009, pp. Article ID 630695, 2009.
    [4b] D. Bellomo, D. de Ridder, S. Rossell, P.J.T. Verheijen, M.J.T. Reinders and J.J.
    Heijnen, “Identifying the regulatory structure of metabolic networks: a constrained
    optimization approach”, Proceedings of the 14th annual conference of the Advanced
    School for Computing and Imaging, pp. 250-257, 2008.
    [5b] D. Bellomo, P. van Nes, M.J.T. Reinders and D. de Ridder, “Stability cannot be derived
    from local structure in biochemical network”, Proceedings of the 3rd international
    conference on bio-inspired models of network, information, and computing systems,
    ICST, Gent, Belgium, 2008.
    [6b] D. Bellomo, D. de Ridder, J.J. Heijnen, M. J.T. Reinders, W. A. van Winden, P.J.T.
    Verheijen, “Identifiability of metabolic networks in pulse experiments”, Proceedings of
    the 13th annual conference of the Advanced School for Computing and Imaging, 2007.


    Systems and Control Theory


    [1c] D. Bellomo, D. Naso, R. Babuška, “Adaptive fuzzy control of a non-linear servo-drive:
    theory and experimental results”, Engineering Applications of Artificial Intelligence, vol.
    21, no. 6, September 2008.
    [2c] D. Bellomo, Babuška R., Naso, D., “Adaptive fuzzy control for speed-reference tracking
    in nonlinear servo drives”, Proceeding of 14th IFAC Symposium on System Identification,
    March 29-31, 2006, Newcastle, Australia.
    [3c] D. Bellomo, Naso, D., Babuška R., “Experimental comparison of adaptive fuzzy controllers”,
    Proceeding of FuzzIEEE 2005, Conference on Fuzzy systems , May 22-25,
    Reno, Nevada, USA.
    [4c] D. Bellomo, D. Naso, B. Turchiano, R. Babuška, “Composite adaptation in adaptive
    fuzzy control”, Proceedings of 16th IFAC World Congress, Prague, Czech Republic, July
    4 to July 8, 2005
    [5c] D. Bellomo, D. Naso, R. Babuška, “Parameter convergence in adaptive fuzzy control”,
    Proceedings of the 1st International Conference on Informatics in Control, Automation
    and Robotics, vol.2, 25-28 August 2004, Setubal, Portugal.
    [6c] D. Bellomo, D. Naso, B. Turchiano, “Improving genetic algorithms: an approach based
    on multi-elitism and Lamarckian mutation”, Proceedings of 2002 IEEE International
    Conference on Systems, Man and Cybernetics, Vol. 4 , 6-9 Oct. 2002.

    Updated
    November 6th, 2009

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