User Portlet

A student of theoretical physics and interested in geometric and universal aspects of complex systems in and around us. I enjoy exact mathematical approaches in many-body physics, in particularly Phase Transitions, Renormalization Group Theory and Critical Phenomena; while I prefer information theoretic approaches due its simple model-independent foundation. Because mathematics provide us with the rigorous and irrefutable foundation of all the fundamental mechanisms of the universe it is already extremely surprising that a complex physical system (human brain) can address the inverse problem of its own existence, i.e. fundamental science, and the question - why things are the way they are, even though nobody ordered them. I also appreciate engaging in philosophy of mind and consciousness.

I have finished courses on Machine learning and finished an industrial internship on Data Science, Natural Language Processing and Automation Processes using Machine Learning, and would highly appreciate working on the foundation of learning theory, and emergence - along this line.