Summary
Hang Chen is a Research Scientist and applied AI/ML engineer with a decade of experience bridging academic research and production systems, currently focused on detecting malware-linked posts at Meta. With a PhD in Computer Science from the University of Delaware and hands-on roles ranging from full-stack web development to data science internships, he combines statistical rigor with practical engineering. His work spans machine learning, blockchain-aware research, and real-time data pipelines—he has investigated NFT pricing, AMM simulation, and integrating blockchain concepts with AI. As a graduate teaching assistant he has taught and mentored students across topics from Python to distributed ledger technology, translating complex concepts into usable code. Comfortable across Python, SQL, JavaScript, and ML tooling, he brings both research depth and production sensibility to security and data-driven problems. Based in Newark, DE, he quietly pairs academic curiosity with product-focused impact, often exploring intersections like LLMs for clinical trial screening.
10 years of coding experience
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Delaware
English, Chinese