About

This blog is written by me, Dr Dane Laban, and is mostly concerned with my personal projects using various data science techniques.

In 2003 I began my undergraduate study at Griffith University in Brisbane, Australia in the Bachelor of Photonics and Nanoscience degree program. My honour’s project in this degree was based on implementing a software feedback loop to stabilise the intenisty of a laser in realtime. After graduating with first class honours, I began a PhD in the Centre for Quantum Dynamics also at Griffith University in 2007. My PhD project involved using an ultrafast laser system to probe the response of electrons orbitting the nucelus of various atoms. During this time I wrote two peer-reviewed scientific articles and was directly involved in collecting and processing the data in several other high-impact publications. I continued in the Centre of Quantum Dynamics as a research fellow where I was given a bigger role in determining the research heading of the ultrafast group. In 2016 I was employed as a physics lecturer at Griffith University where I taught first-year physicists and engineers.

I have always been passionate for accumulating, processing, and rigorously analysing data. This pushed me to complete the machine learning course offered by Stanford University on Coursera (an excellent course which I cannot recommend enough for anyone interested in learning algorithms). With this newly acquired knowledge and my experience as a physicist, I started to analyse any large dataset I could find. This blog and the public section on my github contains the projects that I find interesting.