Relevant Coursework
Already in my masters I had the opportunity to enroll in 3 courses I particularly liked: Criticality and Complex Systems, Dynamical Systems and Bioeletricity Here, I present some of the worked developed in each one of them.
Simulation of the Ising Model using Monte Carlo methods with Metropolis sampling
The goal of this project was to predict the phenomenon of spontaneous magnetization in ferromagnetism. The simplest description of this phenomenon is the Ising Model, which consists, very succintly, of a system represented by N spins that can be in one of two microstates: spinup = +1 or spindown = -1 under the influence of an external magnetic field. Therefore, within the scope of this project an Ising Model was reproduced using Monte Carlo methods with Metropolis sampling in C++.
Simulation of the response of an unmyelinated axon under an applied electric field
The goal of this project was to implement the Hodgkin-Huxley model and cable equations to simulate the temporal and spacial propagation of an action potential. It included the visualizing of the evolution of the membrane potential and the intracelular and transmembrane axial current of sodium and potassium. The project was fully developed with MatLab.
Simulation of the influence of two-compartment model parameters of the plasma drug concentration and effect using Euler Method
The goal of this project was to implement a computational simulation of the pharmacokinetics (how an organism reacts to a drug) and pharmacodynamics (how the drug reacts to the organism) of a certain dosage of a pharmac. The optimization of the dosage given to a pacient is extremely relevant as simultaneously maximizes eficiency and nocive effects. Nevertheless, the performance of clinical trials that envisage the study of pharmacokinetics and pharmacodynamics are difficult to complet without compromosing the safety of the pacient. Consequently, the performance of such studies is of extreme relevance.