Summary
Feng Wei is a Senior Engineering Scientist with a decade of cross-disciplinary experience bridging biomedical engineering, biomechanics, and real-time graphics and simulation. He blends deep computational modeling (FEM/CAE, CUDA, cluster HPC) with practical product development—building data collection systems, wearable sensor integrations, and medical-device workflows informed by MRI/CT imaging. Feng has applied machine learning and computer vision (Keras, TensorFlow, OpenCV) to medical image reconstruction and signal denoising, and more recently has driven physics-based magnetic field simulation and inversion APIs in Python. His background spans game engines (Unity, Unreal) and GPU rendering pipelines, enabling novel visualization and performance benchmarking across consoles and mobile. Equally comfortable in CAD/CAE toolchains and low-level C++/CUDA implementations, he often translates lab measurements into validated synthetic models to set sensor specs and inform product design. Based in Orlando, he pairs academic rigor (PhD in Bioengineering) with industry delivery at companies like Qualcomm, EA, and SoundThinking.
9 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Bioengineering and Biomedical Engineering, Doctor of Philosophy (Ph.D.) Bioengineering and Biomedical Engineering at Clemson University
Master's degree in Mechanical Science and Engineering Reconstruction Computer graphics Computer aided design/CAE/Manufacturing., Master's degree in Mechanical Science and Engineering Reconstruction Computer graphics Computer aided design/CAE/Manufacturing. at Huazhong University of Science and Technology
Bachelor's Degree Vehicle Engineering of Transportation and Automotive engineering, Bachelor's Degree Vehicle Engineering of Transportation and Automotive engineering at Wuhan University of Science and Technology
Chinese, English