Yongqing Liang is a postdoctoral researcher at New York University with 11 years of experience at the intersection of image/video processing and machine learning. Trained with a PhD from Texas A&M and prior MS and BS degrees, he combines deep academic research with industry internships at NVIDIA and Google, plus applied experience as a financial and full-stack engineer. His work in visual data understanding emphasizes practical algorithms that bridge geometric and visual computing, informed by collaborations across university labs and industry research groups. He has a track record of guiding projects from theory to implementation during long research assistantships and high-impact summer research roles. Based in New York, he brings both rigorous experimental methodology and production-minded engineering to computer vision challenges. A less obvious strength is his cross-domain fluency—comfortably translating between academic publications and deployable ML systems.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Fudan University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Texas A&M University
Master of Science - MS Electrical Computer and Engineering, Master of Science - MS Electrical Computer and Engineering at Louisiana State University
Contributions:41 commits, 50 pushes, 2 branches in 2 years 3 months
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Yongqing Liang - Postdoctoral Researcher at New York University