As part of my Graduate studies (MSc Quantitative Finance) thesis discovery process, I’ve read countless studies and academic papers. I started writing summaries of each paper in order to better understand the content. This forces me to dig into the material quite deeply and as the old saying goes – “If you can’t explain it simply, you don’t understand it well enough”.
I am interested in the bridging of computer science and finance, particularly in the realms of machine learning and algorithmic trading. These two quantitative disciplines move quickly in terms of new research, so I mainly draw on papers from these areas:
- Machine Learning
- Algorithmic Trading
- Statistics
- Portfolio Management
- Economics
However I may occasionally include other topics if they are interesting enough to share!
Most of the inspiration for this type of platform comes from Adrian Colyers the morning paper, where he does a similar write-up each workday for new research in computer science. Overall, my reasons for doing this remain the same as his: To provide a quick and easy way to stay up to date on new research.
To learn more about my CV, check out my personal site below.
