Summary
Mingzhen Huang is a research-focused computer vision engineer with nine years of experience, currently a Research Intern at Meta in New York concentrating on object-centric visual recognition, particularly visual object tracking and pose estimation. He combines a strong academic foundation—MS in Computer Science from Stony Brook and a PhD pursuit at University at Buffalo—with hands-on industrial research at Meta across multiple internships and a part-time researcher role. Mingzhen’s work bridges rigorous research and applied systems, aiming to make tracking and pose algorithms robust in real-world settings. He maintains a personal website showcasing his projects and publications, signaling commitment to open dissemination of research. An interesting note: his background began in e-commerce, giving him a practical perspective on deploying vision models for real-world product and user-facing applications.
9 years of coding experience
E-Commerce/Electronic Commerce, E-Commerce/Electronic Commerce at Beijing University of Posts and Telecommunications
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University at Buffalo
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stony Brook University