Zhihong Deng
Machine Learning Engineer at TikTok
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolZhihong Deng is a machine learning engineer and PhD researcher specializing in causal reinforcement learning, blending causal inference with RL to improve robustness, interpretability, and decision-making in agents. With a decade of experience across academia and industry, he has conducted research at UTS and SUSTech and recently joined TikTok as an ML engineer, bringing research rigor to production settings. Trained at Sun Yat-sen University and supervised by leading researchers, he focuses on embedding prior causal knowledge into learning agents to move toward human-level intelligence. Colleagues describe him as collaboration-minded and open to interdisciplinary partnerships; he is actively seeking postdoctoral or research scientist roles where theory meets real-world impact.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Sun Yat-sen UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Technology Sydney
Chinese, English, Chinese
Github Skills (58)
pytorch10
distributed-training10
parallel10
python10
machine-learning10
image-translation10
industrial10
reinforcement-learning10
generative10
deep-learning10
paddlepaddle10
scalability10
data-science9
generative-adversarial-network9
artificial-intelligence9
Programming languages (5)
Github contributions (5)
familyld/Coding_Interviews
Aug 2016 - Sep 2016
Contributions:147 commits, 44 pushes, 1 branch in 1 month
familyld/familyld.github.io
Sep 2019 - Aug 2024
Contributions:75 pushes, 1 branch in 5 years
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