Summary
Lun-pin Yuan is a software engineer and PhD-trained researcher with a decade of experience at the intersection of cyber security, machine learning, and cloud-native systems, currently building security solutions at ByteDance in Mountain View. His dissertation and publications focus on unsupervised anomaly detection and pre-zero-day Android malware analytics, blending deep learning with practical attack-surface reduction techniques. He has applied those skills in industry internships and research roles—designing pod-level security for Kubernetes, enterprise-level anomaly hunting from audit logs, and SDN-aware IaaS protections—resulting in multiple publications and patent filings. Comfortable across Python/TensorFlow, Java/Android, Linux/AOSP and C/C++, he pairs rigorous academic methodology with hands-on engineering to move prototype analytics into production. An understated strength is his ability to derive access-control rules and detection models by profiling real system behavior rather than relying solely on signatures.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at National Chiao Tung University
Doctor of Philosophy (Ph.D.), Computer Science and Engineering, Doctor of Philosophy (Ph.D.), Computer Science and Engineering at Penn State University
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at National Tsing Hua University