Research Fellow In Secure Systems at University of Melbourne
Melbourne, Victoria, Australia
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Summary
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Senior
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Zheguang Zhao is a research fellow in secure systems with 13 years of experience at the intersection of machine learning, encrypted data systems, and large-scale data engineering. He earned a PhD in Computer Science from Brown University and has applied his research to real-world problems from building physics-inspired ML models for cyber-physical systems at Los Alamos National Lab to designing encrypted relational databases for the cloud. His career spans academia and industry—postdoctoral work in Germany, engineering roles at startups and database-focused teams, and research internships at Microsoft and Intel—giving him both deep theoretical grounding and production-grade systems experience. Zheguang is comfortable across languages and platforms (Scala, Julia, Spark, JuMP) and uniquely combines applied cryptography with ML for privacy-preserving analytics. Based in Melbourne, he brings a research-driven approach to secure, scalable data systems and a track record of translating theory into deployable technology.
13 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at University of Wisconsin-Madison
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Brown University
Exchanged Program Research Internship Computer Science, Exchanged Program Research Internship Computer Science at Georgia Institute of Technology
Contributions:66 pushes, 1 branch in 7 years 8 months
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Zheguang Zhao - Research Fellow In Secure Systems at University of Melbourne