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.
10 years of coding experience
10 years of employment as a software developer
Malaysian 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
South 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
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Monash University
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