Research Interests
My research has always been concerned with the modelling and simulation of real systems
in physics and biology. In particular, I have been studying many
bodies and nonlinear systems using the methods of statistical mechanics. Some of
the keywords of my past and actual research interest are: Stochastic Processes,
Dynamical Systems, Mathematical or Theoretical Biology and Complex Systems.
In my research I use many theoretical and simulation tools, like
Classical and Stochastic PDE's, Finite Elements, Neural Networks, Monte Carlo Simulations,
Molecular Dynamic Simulations and Parallel Computing.
My current research interest:
After I finished my PhD in Physics in ?98 I became particularly interested
in the application of the mathematical methods used in physics to other fields,
such as biology and population dynamics.
Population Dynamics:
Relating the interactions of individuals ---described in terms of competition,
predation, interference etc.--- to the dynamics of the populations of these
individuals in terms of the change in numbers of individuals over time is a
central problem in biology and ecology. I have addressed this problem in the case
of the description of the antibodies-parasite competition during Chagas' disease.
Now I am finishing an upgrade of our first Chagas model to describe more explicitly
the intracellular reproduction of trypanosoma cruzi and then extract information
about the cardiac damage produced during the disease.
Reaction-Diffusion Systems:
Reaction-diffusion equations belong to a family of multicomponent models of broad
applicability. Although the process A + B -> A is usually related to chemical
reactions, it can be used to model a wide variety of processes in physics and biology,
such as bacterial diffusion and the evolution of a two phase liquid. In the first
case, I am interested in modelling bacterial motion
with the use of a Brownian particle with an internal energy depot, extending
the analysis of a model recently introduced to describe
the dynamics of a microorganism (such as marine bacteria) moving under the combined
influences of its own propulsion system and of Brownian forces.