François Petitjean
Principal Data Scientist
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolFrançois Petitjean is a Principal Data Scientist based in Melbourne with 12 years’ experience translating advanced machine learning research into production-grade solutions across AWS and Azure for the Australian Government. A former world-leading ML researcher with a PhD in Computer Science from the French Space Agency, he published 65+ papers on time series and satellite image analysis and spent a decade at Monash bridging academia and applied AI. He leads ModelOps, governance and deployment efforts, with domain wins in cybersecurity and environmental/social-good projects, and is comfortable across diverse development environments. Unusually for a public-sector leader, he combines deep theoretical expertise in temporal and spatial ML with hands-on delivery of operational systems that meet governance and ethical constraints.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of StrasbourgBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at université de Franche-Comté
English, French, German
Github Skills (32)
categorical9
python8
machine-learning8
dtw8
classifier8
sampling8
pytorch8
hierarchical8
r-package7
data-science7
temporal7
probability7
distributions7
tensorflow7
deep-learning7
Programming languages (3)
Github contributions (5)
fpetitjean/DBA
Jun 2014 - Jan 2019
DBA: Averaging for Dynamic Time Warping
Contributions:10 commits, 1 PR, 25 pushes in 4 years 8 months
dynamic-time-warpingdbatime-dynamicaveragingwarping
fpetitjean/Chordalysis
Jan 2015 - Jul 2018
Contributions:2 releases, 6 commits, 38 pushes in 3 years 6 months
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