Personal Introduction

Coming from a background in physics -- specifically, designing and developing radiation detectors -- and having worked in the industry for several years, the exposure to vast amount of data has been inevitable. 

The most exciting part of physics is the mysteries it solves, more often than not, by complicated equations, which are these days more tangible thanks to the internet and the collective efficacy of enthusiastic people who invest time and put in the effort to break down complicated things to each and every recipient's comprehension. 

The explicit nature of physics aids in solving problems once the proper equations are at hand, whereas in data science inputs and outputs are not (necessarily) explicitly correlated and one needs to rely on computers to find the appropriate model that describes the data. Fortunately, and/or unfortunately, the modern society is heavily relied on data and, in turn, on professional data analysts. Therefore, to cope with this reality, no other option than diving into this new world was imaginable. Hence, the most relevant path was to select the MSE program in data science at ZHAW.

Subsequently, selecting the EVA Seminar in Artificial Intelligence (AI) at ZHAW, with Curiosity for AI being the only prerequisite, one is introduced to the subject and an in-depth sight is acquired by independently studying and reviewing a scientific paper in AI. Hopefully, by the end of the seminar, the concept of AI is more comprehensive and will take me one step forward in my path to Artificial Intelligence. 

Lastly, when not studying for my courses, you might see me with a book (rather non-fiction, philosophy books) or on my motorbike enjoying life. You might sometimes see me with brushes and acrylic colors, or bruises and scars after finishing a Spartan race -- after all, not everything is artificial!