Xinjie Lan
Assistant Teaching Professor at Rice University Data to Knowledge Lab
Houston, Texas, United States
Summary
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Senior🎓
Top SchoolXinjie Lan is an Assistant Teaching Professor and researcher with nine years of experience bridging machine learning theory, explainable AI, and computer vision, and five years focused specifically on ML research. Based in Houston, he teaches and mentors while maintaining an active research profile that includes work on explainability and adversarial robustness from a JD.com internship and a PhD from the University of Delaware. His background spans academia and industry—research roles at University of Delaware and Rice University's Data to Knowledge Lab, plus early software engineering at a telemetry institute—giving him a practical edge in translating theoretical ideas into applied systems. Known for combining rigorous theoretical understanding with hands-on experimentation, he brings depth in electrical and communication engineering to contemporary AI problems.
9 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Yantai UniversityDoctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at University of DelawareMaster's degree, Electrical and Communication Engineering, Master's degree, Electrical and Communication Engineering at Beijing Institute of TechnologyGithub contributions (5)
EthanLan/BCNN
Nov 2018 - Nov 2018
Contributions:44 commits, 36 pushes, 1 branch in 3 days
EthanLan/A-Tighter-Genearlization-Bound-in-deep-learning
Jun 2021 - Jun 2021
Contributions:5 pushes, 1 branch in 1 day
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