Summary
Meng Ding is a Senior Software Engineer specializing in computer vision and deep learning with a PhD and five years of industry-focused R&D experience across Thermo Fisher Scientific, Bayer, OMNI AI, and NIH. He combines strong C/C++ and Python engineering with applied ML expertise—CNNs, RNNs/LSTMs, manifold learning—and a track record in 3D image segmentation, point cloud registration, pose estimation, and hyperspectral/tensor image processing. His work spans both research and production: publishing academic results while building robust pipelines using TensorFlow, Keras, OpenCV, ITK and Kinect SDK. Based in Chengdu but active in international projects, he bridges biomedical imaging needs and scalable computer vision solutions. Notably, his profile reflects hands-on mastery of classical methods (SVM, Random Forest, boosting) alongside modern deep architectures, making him adept at solving problems where data is scarce or heterogeneous.
5 years of coding experience
8 years of employment as a software developer
BS, BS at Beijing Institute of Technology
PhD, PhD at Oklahoma State University
English, Chinese