Jonathan Ting is a Data Analyst and PhD-trained machine learning researcher based in Canberra with eight years of experience at the intersection of computational chemistry, AI, and high-performance computing. He completed a PhD focused on applying ML to multimetallic nanocatalyst design at ANU and now brings that domain expertise to genomics-focused data work at Diversity Arrays Technology. Jonathan combines strong academic pedigree—including a University Medal in Computational Chemistry—with hands-on experience tutoring and mentoring students and conducting research on national supercomputing resources. He is comfortable translating complex scientific problems into reproducible, production-ready data workflows and experimental designs. An analytical thinker with proven success in both collaborative research environments and applied industry settings, he often bridges theory and practice by pairing advanced modelling with practical software tooling.
8 years of coding experience
Australian National University
Professional Certificates, Specializations, Courses, and Guided Projects, Data Science, Professional Certificates, Specializations, Courses, and Guided Projects, Data Science at Coursera
WACE (Australia Matriculation), Physics, Chemistry, Biological Science, Mathematics CD, English, CGPA 4.0/4.0, WACE (Australia Matriculation), Physics, Chemistry, Biological Science, Mathematics CD, English, CGPA 4.0/4.0 at Methodist College Kuala Lumpur (MCKL
Malaysian Certificate of Education (Sijil Pelajaran Malaysia), 3 Languages, 3 Sciences, 2 levels of Mathematics, History, Moral, Accounting, 8 A+ (>90%), 3 A (>80%), CGPA 3.9/4.0, Malaysian Certificate of Education (Sijil Pelajaran Malaysia), 3 Languages, 3 Sciences, 2 levels of Mathematics, History, Moral, Accounting, 8 A+ (>90%), 3 A (>80%), CGPA 3.9/4.0 at Sekolah Menengah Kebangsaan Sungai Merah (Red River National High School)
Bachelor of Advanced Science (Honours), Computational Chemistry, CGPA 6.9/7.0, University Medal, Bachelor of Advanced Science (Honours), Computational Chemistry, CGPA 6.9/7.0, University Medal at The University of Queensland
Contributions:4 PRs, 28 pushes, 5 branches in 4 years 5 months
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