Jianing Zhu is a postdoctoral researcher at UT Austin with eight years of experience bridging academic research and applied trustworthy AI. Trained with a PhD in Computer Science from Hong Kong Baptist University and a BE from Sichuan University, Jianing focuses on responsible and trustworthy machine learning, with recent stints at RIKEN AIP and a visiting scholar role in CMU’s Machine Learning Department. Their work sits at the intersection of rigorous theory and practical evaluation, reflected in affiliations with the TMLR group and VITA lab. Based in Austin, they bring a global research background and hands-on internship experience that accelerates the translation of reliability-focused ML methods into real-world settings.
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