Problem Solver
Bogar Carreto
Areas Bogar Carreto is Knowledgeable in:
Physical sciences, energy, mathematics, medicine, software.
Techniques Bogar Carreto Uses:
Image analysis through ImageJ, Matlab and Mathematica. Data filtering through R and MongoDB. Simulation of microscale models such as agent-based models through Python and Mathematica.
Bogar Carreto's Problem Solving Experience:
- -I synthesized and characterized colloidal composites of silica and iron for water treatment.
-I proposed and built two models of agents, where I used the paradigm of statistical physics, for the study of the problem of wealth distribution in a society.