You surely didn’t come here to look at my face.
You came here because of one of my projects:
- My notebooks, mostly in interesting problems statistical inference and the tedious technical details of solving them. My references are also online, in particular my own publications. There is also an more intermittent blog, upon even more ephemeral ephemera.
- Lotekno, a Sundanese pop/electronic dance music crossover collaboration that I co-founded.
- Bodywerk, my slammin’ DJ project.
- Synestizer, an audiovisual synthesizer for which I am technical lead.
- Efek Samping, my solo abstract electronic art music project.
- My github page hosts various software I wrote.
- Contact me for information about other projects, why not?
Wait, you did come here for my face?
You’ll have to scroll down a little, then.
Hi, I’m Dan MacKinlay.
I’m a statistician and musician from Australia. Musician should be clear. Statistician, though, what’s that? A statistician is the exact same thing as a data scientist or machine learning researcher with the differences that there are qualifications needed to be a statistician, and that we are snarkier.
These days I work across data analysis, music, generative design and machine learning, especially for time series. I’ve been based at various times at such locations as
- Zürich, Switzerland, where I did my MSc in statistics under Professors Sara van de Geer and Didier Sornette at the Swiss Federal Institute of Technology
- Sydney, Australia, where I visualised data for the Powerhouse Museum under Seb Chan
- Bandung, Indonesia, where I worked on interactive music with Common Room and Gustaff Harriman Iskandar
Currently I am doing a PhD in statistics with Zdravko Botev at the University of New South Wales Sydney.
My current methods of interest are point process inference, compressive sensing, design grammars, sequential Monte Carlo methods, concatenative synthesis, differentiable learning, branching processes, Hilbert-space methods in high dimensional inference, stochastic differential equations and the application of all of these to economic modelling, reliability engineering and sick breakbeats.