Research Assistant at Universidad Nacional de Colombia

RESPONSIBILITIES

● Build a thermodynamic module for the analysis of phase equilibrium phenomena in compositional simulation.

● Implement machine learning methods to construct physics-informed models for studying phase equilibrium phenomena.

KEY ACCOMPLISHMENTS

● Reduced simulation time by 90% through the implementation of a physics-informed neural network, accelerating the pace of scientific experimentation