Adi Lin is a research scientist based in Beijing with nine years of experience at the intersection of causal inference and trustworthy AI. Holding a PhD in Computer Science from the University of Technology Sydney and earlier degrees from Xiamen University, Adi blends rigorous academic training with applied machine learning research. Their work focuses on making ML models more interpretable and robust through causal methods, aiming to bridge theoretical advances and real-world deployment. Colleagues describe Adi as methodical and curious, often exploring unexpected causal angles to improve model reliability. Though primarily research-focused, Adi maintains a practical mindset toward trustworthy AI solutions that scale beyond prototypes.
9 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Xiamen University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Technology Sydney
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