The professional path leads through synthesis of images, in communicating ideas, thoughts, non-existing virtual worlds. Accompanied with the Monte-Carlo sampling problem (and the SDS problem), some human perception, numerics of discrete computing (along with errors), computing architectures (linear digital, neuromorphic, quantum and analogue) and computability, information theory and how computing relates to entropy, the radiative transfer problem, the notion of multi-scales and emergence, the gap between computer science and physics, and non-linear transport problems and how to solve them without introducing a geometry problem, and computing with surrogate models and their viable alternatives (all these academic fields are huge in knowledge, and only a small subset can be known). An adventure in understanding these, and to help with contributing.
What fascinates about photography? My mum once said after listening: The camera is a third eye. This visual sensor allows to open a glimpse of consciousness about one's own limited visual perception, by stepping outside of what the brain learned through our natural eyes. The world naturally seen differs from the world seen through the camera. Who are we? Trying to step outside of our own individuality appears like trying to enhance convergence of a global transport problem by making choices being less local.