quant

Throughout university, I've learned to appreciate textbooks with the lack of eyestrain caused from staring at a monitor while I try to scroll to the correct page as Ctrl-F fails to locate a seemingly simple string of text, no thanks to the complicated properties of PDF formatting. The physical interaction of having to flip page by page, witness real smooth-scrolling of greater than 60 FPS may be of factor as well. Or perhaps the incense of opening a new book...

That being said, fortunately for our school, many of our courses use course notes written by the professors themselves. Due to the laconic nature and format of these texts, I had the pleasure of not having to spend a pointless $100+ per course. Unfortunately, I will be unable to catalog them within this database. Why, I will explain in the next paragraph.

As I have created this account to organize the numerous education texts I have rummaged over the years, a secondary purpose I had in mind was to provide what it is like as a student of a university student studying mathematics and computer science, aspiring to become a quantitative researcher studying the initial laws of physics to model the financial world, or develop artificially intelligent machines that could render humans one day infeasible of working in a utopia featuring Wall-E. Wait... 

Anyways, welcome to my page. I am a student who's main interest is to study quantitative finance, algorithms, and machine learning techniques. In total, I've probably read less than ten novels within my lifespan, but ignoring my lack of experience in reading and interpreting the world of literary arts, all I need is a computer, and a working keyboard, and an OS that supports a relatively high-level language, and you get the point. I've spent about two years studying the mathematical aspect of finance, and over seven years studying computer science. I like to think I know what I'm doing with my life.