Hanxun Huang
Postdoctoral Research Fellow In Generative AI
Melbourne, Victoria, Australia
Summary
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Senior🎓
Top SchoolHanxun Huang is a Postdoctoral Research Fellow in Generative AI at the University of Melbourne with 11 years of experience bridging robust machine learning research and practical teaching. He earned his PhD and MSc from Melbourne after a BS in Computer Science from Purdue, and his recent work sits at the intersection of generative models and AI safety within an ARC Centre of Excellence for Automated Decision-Making and Society. Hanxun has taught a broad range of courses from declarative programming to statistical machine learning, reflecting a talent for translating advanced research into accessible instruction. He focuses on robustness and pattern recognition in ML—bringing a rigorous, safety-aware perspective to generative AI development—and often pairs theoretical work with hands-on implementations.
11 years of coding experience
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Purdue UniversityThe University of MelbourneBeijing No. 80 High School
English, Chinese
Stackoverflow
1reputation
0reached
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Github Skills (39)
python10
acceleration10
machine-learning10
numpy10
deep-learning10
tensorflow10
gpu10
autograd10
neural-network10
tensor10
gpu-acceleration10
hotspot8
adversarial-machine-learning8
benchmark7
c-library6
Programming languages (4)
Github contributions (5)
HanxunH/Active-Passive-Losses
Feb 2020 - Jul 2020
Contributions:9 commits, 9 pushes, 4 comments in 5 months
HanxunH/Unlearnable-Examples
Oct 2020 - Oct 2022
[ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable
Contributions:1 review, 35 commits, 3 PRs in 2 years
personal-data
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