Hi, I’m Ned, and I’ve been working in technology for nearly 30 years involving Hardware Engineering, Physics, Computer Science, Statistics/Data Science, and Medical Imaging. All of this work has involved a lot of software development and coding in Fortran, C/C++/C#, MATLAB, and now mostly Python. A lot of my industry career involved working directly with customers, both before and after the sale, and I enjoy helping customers’ understanding of technical concepts and requirements. I’ve done my own consulting and have given many technical presentations to others, ranging from Sales VPs and the “C-Suite” to global teams of data scientists. I am also really excited at how fast AI agents let you make your own tech tools, and I usually have 10 different internal tech projects on the go at any one time.

A lot of my enjoyment in helping others understand technical concepts comes from my background in teaching and education. I previously taught Physics and Digital Imaging in tertiary education, and I am now working in secondary STEM education via sub/casual teaching. Please see my teaching page for more info. I did my PhD at the University of Sydney, working a lot with Linear and Nonlinear Regression, Bootstrap, and Model Selection techniques. If you really want to know more about my academic work, you can read my thesis, Reliability and Uncertainty in Diffusion MRI Modelling. You can also see a list of my publications on my Google Scholar page. I also discuss my PhD work in a more approachable manner in some of my articles.

Outside of tech, I played a lot of rugby union in the US and Australia when I was younger and capable (and I still actively play touch rugby), love hiking and camping, and I’m also a licensed private pilot who likes to get up every now and then for some “aerial therapy”. I’m also very much into all kinds of music, have spent thousands of hours listening to ambient music, especially obscure albums from the 1990s, and am a complete hack on the piano.

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Explorations in software engineering, statistics, data science, and imaging.