Summary
Cunjian Chen is a research scientist with a decade of experience specializing in image processing, pattern recognition, computer vision, and machine learning, with deep expertise in Caffe, PyTorch, and Darknet. He has a strong academic foundation (Ph.D. in Computer Science) and a sustained research career at Michigan State University and West Virginia University focused on face analysis, including cross-spectrum face matching between thermal/NIR and visible imagery. Cunjian publishes and maintains practical open-source projects such as face_alignment and pytorch_face_landmark, bridging cutting-edge research and usable tooling for the community. Beyond publications, he has taught courses and guided research projects, demonstrating an ability to translate complex models into classroom and code. Colleagues value his blend of rigorous scholarship and hands-on implementation that enables real-world biometric and facial-landmark solutions.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at West Virginia University
English, Chinese