Rafael Arenhart

Researcher with experience in programming for scientific applications.

Main professional interest:

• Developing and implementing simulation solutions for challenging problems, using new approaches supported by just-published innovations in the field.

Primary skills and knowledge:

• Mathematical modelling.

• Python programming and scientific libraries (Numpy, Scipy, Scikit, Matplotlib, Numba).

• Transport phenomena and computer fluid dynamics.

• Image acquisition and processing.

Other skills and knowledge:

• Monte Carlo Methods and Percolation Theory.

• Statistics and Data Science.

• C programming.

• Machine Learning

• Teaching (undergraduate and graduate levels).