Chang Tan

Senior Applied Scientist at Oracle

Melbourne, Victoria, Australia
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Summary

👤
Senior
🎓
Top School
Chang Tan is a Senior Applied Scientist with 10 years of experience combining academic rigor and industry impact in AI-driven healthcare and time series analytics. His PhD from Monash produced scalable time series classification algorithms up to 1,000x faster than prior art, earning the Mollie Holman Award for best thesis in the Faculty of IT. At Oracle Health and through roles at Stemly and Monash, he has translated research into production-ready forecasting and diagnostic models for supply chains and clinical settings. Comfortable spanning research, teaching and applied engineering, he pairs deep theoretical knowledge with hands-on skills from electrical engineering internships to building wireless sensor networks for safety applications. Based in Melbourne, he focuses on AI solutions that deliver measurable societal benefit, especially in healthcare.
code10 years of coding experience
job10 years of employment as a software developer
bookMalaysian Certificate of Education, High School/Secondary Diplomas and Certificates, 10 A, Malaysian Certificate of Education, High School/Secondary Diplomas and Certificates, 10 A at Kuching High School
bookSouth Australian Matriculation, High School/Secondary Diploma Programs, ATAR 97.3, South Australian Matriculation, High School/Secondary Diploma Programs, ATAR 97.3 at Kolej Universiti Taylor's
bookDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Monash University
languagesChinese, Malay, English
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Github Skills (22)

anomaly-detection10
classification10
data-mining10
meta-learning10
forecasting10
weka10
data-science9
machine-learning9
time-series9
java-time9
scikit-learn9
ai9
regression9
deep-learning8
sktime8

Programming languages (4)

TypeScriptJavaC++Python

Github contributions (5)

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ChangWeiTan/LbEnhanced

Oct 2018 - Mar 2021

Contributions:6 commits, 3 pushes in 2 years 5 months
ChangWeiTan/FastWWSearch

Oct 2017 - Jun 2018

This work focused on fast searching for the best warping window for Dynamic Time Warping and Time Series Classification
Contributions:28 commits, 2 PRs, 11 pushes in 8 months
dynamic-time-warpingpythontime-series-analysiswindowtime-dynamic
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