Summary
Hulin Wang is a PhD candidate in Computer Science at ASU’s SEFCOM lab and an Applied Scientist Intern at Amazon working on security-focused machine learning problems. With nine years of experience spanning academia and industry, he blends deep research in NLP and federated learning with practical engineering—contributing to FedNLP and leading the patching component for Team Shellphish’s AI Cyber Challenge. His background includes graduate research at USC, undergraduate AI/SE work at UC Davis, and hands-on software roles such as Tableau development at LitePoint, reflecting a rare mix of experimental and production-facing skills. Hulin’s work often connects model-centric research (LSTMs, layer normalization) with system-level deployment concerns in security and federated settings. He is based in Tempe, AZ, and maintains a personal site showcasing projects and publications.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, gpa 3.7, Master's degree, Computer Science, gpa 3.7 at University of Southern California
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Arizona State University
Bachelor's degree, Computer Science, GPA 3.7, Bachelor's degree, Computer Science, GPA 3.7 at University of California, Davis
English, Chinese