Dan Mackinlay
Research Scientist In Gradual Disempowerment And Macrostrategy
Melbourne, Victoria, Australia
Summary
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Senior🎓
Top SchoolDan Mackinlay is a research scientist and algorithmicist with 11 years’ experience building causal and counterfactual ML systems for science and industry, from geospatial analysis and mineralogy to viral media dynamics and audio signal processing. With a PhD in Mathematics and Statistics (UNSW) and an MSc from ETH Zürich, he bridges rigorous theory and real-world deployment—previously at CSIRO Data61 and now focused on agentic AI, macrostrategy, and gradual disempowerment at ACS Research. He designs physics-informed models that reason about how the world might be, not just how it was, and has a track record of turning those models into state-of-the-art applied tools. Beyond research, he edits for Alignment Journal and has participated in elite alignment fellowships, reflecting a rare mix of technical depth and policy-minded systems thinking. An early career rooted in interactive media and large-scale data systems informs his practical engineering instincts and interdisciplinary approach.
11 years of coding experience
6 years of employment as a software developer
Australian National UniversityUniversity of Canberra International Physics Olympiad squad summer schoolScotch CollegeUNSW Sydneycollective behaviour, collective behaviour at Santa Fe InstituteMaster of Science (MSc), Statistics, Master of Science (MSc), Statistics at ETH Zürich
English, Indonesian, German
Stackoverflow
945reputation
94kreached
11answers
3questions
Github Skills (53)
python10
data-science10
scikit10
statistics10
machine-learning10
scikit-learn10
data-analysis10
music8
audio8
development-environment8
dtw8
rstudio7
ide7
librosa7
ableton-live7
Programming languages (6)
Github contributions (5)
danmackinlay/MonotoneSampling
Feb 2020 - Jul 2020
Contributions:165 pushes in 4 months
synestize/synestizer
Jan 2015 - Nov 2016
Contributions:18 commits in 1 year 10 months
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