wereldcrisis.nl tegen de nieuwe oorlog

I've moved; right now I'm doing a postdoc at the Oxford University, the mathematical biology group in the Zoology department. I'm working on the evolution of redundancy in a fungal genetic system which regulates self-nonself recognition. These systems have characteristics in common with other self-nonself recognition systems, e.g., mating systems in plants and MHC molecules in the adaptive immune system. I'm studying self-nonself recognition sytems in fungi as a paradigm for the evolution of redundancy in systems where redundancy influences the interaction between systems and its evolution is strongly shaped by the nature of the interaction of the organism with other organisms. A typical example is the redundancy which abounds in the immune system, where the immune system interacts, and coevolves, with pathogens. Of course, in a broader context the same issues come about in economic markets when competitive agents evolve in a interactive environment. Untill recent I was a postdoctoral fellow at the Santa Fe Intitute (in the EVCA group) working with Jim Crutchfield and Melanie Mitchell.

I did my PhD studies under supervision of Prof. Paulien Hogeweg in the Theoretical Biology/Bioinformatics group, Utrecht University, Holland. My PhD thesis is available online below.

I would have liked to put my foto here but since I don't have one I'll put one of a good friend of mine.

Address:

Ludo Pagie
Santa Fe Institute
1399 Hyde Park Road
Santa Fe, NM 87501, USA
email: ludo@cut-this-antispam.santafe.edu
phone: (+1)(505)-984-8800 x234
fax: (+1)(505)-982-0565

(new) Research interests:

My main interests are in coevolution and the spatial embedding of eco-evolutionary processes. My graduate work was focussed on the effect of sparse fitness evaluation on the evolutionary process, and particularly how information integration is affected by sparse fitness evaluation.

Here, in the EvCA group, I focus on coevolution in the context of evolutionary optimization models. Although some studies have shown that coevolution may enhance the optimization process, other studies have shown that coevolution may lead to outcomes (e.g. red queen dynamics, or speciation) that are far from desirable from the point of view of finding optimal individuals. One aspect that seems to be important in coevolutionary optimization (and maybe even more so that in standard evolutionary optimization) is the degree that the populations are divers. I study how diversity arises, how it is maintained in the population and how it influences the evolutionary dynamics.

Publications:

  • Tamas L. Czaran, Ludo Pagie, and Rolf F. Hoekstra (accepted); Chemical warfare between microbes promotes biodiversity. PNAS.


  • Ludo Pagie and Paulien Hogeweg (2000); Optimization as Side-Effect of Evolving Allelopathic Diversity. Proceedings PPSN VI Lecture Notes in Computer Science 1917:797-806(ps.gz(0.1Mb))


  • Ludo Pagie and Paulien Hogeweg (2000); Information integration and red queen dynamics in coevolutionary optimization. Proceedings CEC 2000: 1260-1267.(ps.gz(0.1Mb),pdf(0.1Mb))


  • Ludo Pagie and Paulien Hogeweg (2000); Individual- and population-based diversity in restriction-modification systems. Bull. Math. Biol. 62(4):759-774. (pdf(0.4Mb))


  • Ludo Pagie and Paulien Hogeweg (1999); Colicin diversity; a result of eco-evolutionary dynamics. J. Theor. Biol. 196:251-261. (pdf(0.6Mb), ps.gz(0.4Mb))


  • Ludo Pagie and Paulien Hogeweg (1997); Evolutionary consequences of coevolving targets. Evolutionary Computation 5(4):401-418.(ps.gz(0.3Mb))


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    Thesis:

    here is a link to a page with my thesis where you can download the chapters separately. If you want the full thesis all in one go, go get it here.