Jayson Gutiérrez

 

CV


2007: M.S. in Biology, Universidad de Antioquia, Colombia

Thesis Topic: Computational Evolution of Developmental Regulatory Networks

2007-2009: Research assistant, Grupo de Física y Astrofísica Computacional (FACOM), SIU, Universidad de Antioquia, Colombia

2007-2009: Research assistant, Grupo de Inmunovirología, SIU, Universidad de Antioquia, Colombia

2010-Now: PhD student, VIB Center for Plant Systems Biology, Evolutionary Systems Biology lab, Ghent University.

Research

Postdoc


jayson.gutierrez@psb.vib-ugent.be


VIB / Ghent University

Evolutionary Systems Biology

Technologiepark 927

B-9052 Gent

BELGIUM

Publications

(3) Gutiérrez, J., Maere, S. (2014) Modeling the evolution of molecular systems from a mechanistic perspective. Trends Plant Sci. 19:292-303.

PubMed


(2) Gutiérrez J., St Laurent G. 3rd, Urcuqui-Inchima, S. Propagation of Kinetic

Uncertainties Through a Canonical Topology of the TLR4 Signaling Network

in Different Regions of Biochemical Reaction Space (2010) Theor Biol Med Model. 7:7.


(1) Gutiérrez J. A Developmental Systems Perspective on Epistasis: Computational

Exploration of Mutational Interactions in Model Developmental Regulatory

Networks (2009) PLoS One 4:e6823.



Interests: systems biology, evolutionary systems biology, evolutionary theory, population and quantitative genetics, evolutionary developmental biology, combinatorial optimization


Present: I am currently developing a computational framework based on ordinary differential equation models and thermodynamic principles of molecular interactions, aimed at investigating the evolvability of small regulatory networks. I am also investigating the evolutionary consequences of epistatic constraints in simple regulatory networks by means of stochastic network modeling and structural biology modeling.


Past: My previous research revolved around evolutionary systems biology of developmental regulatory networks in the Drosophila embryo, and systems biology of intracellular signaling systems underlying immune responses.