# Yuanmu Deng > Staff Software Engineer at ZEISS Medical Technology Location: Dublin, California, United States Profile: https://flows.cv/yuanmu Ph. D. in EE with 20+ years of experience developing and implementing sophisticated image processing and analysis algorithms and software; Highly skilled medical imaging professional with broad expertise and range of skills in image acquisition, reconstruction, segmentation, registration, classification and recognition; Strong understanding and background in object oriented programming and work experience in full life cycle of software development from design to implementation to maintenance of biomedical imaging software; Proficient in C++/C# and Matlab with strong coding and debugging skills. Excellent problem-solving, analysis and interpersonal skills. Unparalleled passion and dedication to work that improves quality of human life. Specialties: Flowcytometer setup and QC, OCT imaging and EPR/NMR imaging, signal/image processing, machine learning, C++/MFC, C#, Matlab, Team Foundation Server ## Work Experience ### Staff Software Engineer @ ZEISS Medical Technology Jan 2022 – Present | Dublin, California, United States • Opthalmic diagnostics ### Staff Software Engineer @ Topcon Healthcare Solutions Jan 2019 – Jan 2022 | Milpitas, CA • Project manager for development of a cloud-based application (proof of concept) • Optic nerve head disc/cup segmentation algorithm improvement • Software/Algorithm development on NVIDIA Jetson platform ### Staff Scientist - Algorithm Development @ BD Biosciences Jan 2013 – Jan 2019 | San Jose • Designed and developed new algorithms and image processing methods for use in BD image based clinical/research applications and flow cytometry applications. • Designed and developed new algorithms and software for flow cytometer setup and QC. ### Senior Staff Scientist @ Optovue Inc. Jan 2007 – Jan 2013 | Fremont, CA • Developed and implemented algorithms for Optical Coherence Tomography (OCT) image alignment, registration and auto averaging for RTVue and iVue imaging systems • Developed, implemented and optimized optic disc/cup (optic nerve head) segmentation and analysis algorithms for RTVue and iVue imaging systems • Implemented, evaluated and optimized retinal layer segmentation algorithms using the latest technologies in industry • Worked with clinic research scientists to validate algorithm accuracy and diagnosis power using clinic data; provided validation results in compliance with FDA requirements • Maintained and improved existing imaging algorithms and software ### Research Scientist @ Ohio State University College of Medicine Jan 2002 – Jan 2007 • Developed adaptive projection acquisition approaches for 3D EPR imaging of free radicals; Adapted accordingly the filtered back-projection algorithm for image reconstruction • Developed and implemented a fast continuous wave (CW) EPR imaging system using spinning/spiral magnetic field gradients enabling an increase of image acquisition speed by an order of magnitude as compared to the conventional methods • Developed a client/server software using C++ for real-time calculating dynamic nuclear polarization (DNP) spectra based on a commercial NMR console • Developed a Windows based 4-D spectral-spatial EPR imaging software (Visual C++/MFC source codes>30,000 lines) including hardware control, data acquisition, image reconstruction and post-processing • Research results from adaptive projection acquisition and fast CW EPR imaging system development led to funding of an NIH research projects program (R01) “Novel Methods for in Vivo Imaging of Tissue Oxygenation”- Principal Investigator: P Kuppusamy (20% effort) and Co-Investigators: Y Deng (50% effort) and J Zweier (5% effort); A total amount of funding $800,000 for 4 years ### Postdoctoral Researcher @ Johns Hopkins University School of Medicine Jan 1999 – Jan 2002 • Developed a Windows based EPR spectroscopy and imaging software using Visual C++ • Studied EPR/NMR co-imaging of free radicals, focusing on image registration, fusion and visualization • Measured and mapped in vivo free radical distribution and clearance in small living animals using proton electron double resonance imaging (PEDRI) technique ### Postdoctoral Researcher @ Peking University Jan 1997 – Jan 1999 | Beijing, China • Developed a clinical analysis software package for SPECT images using C++ • Implemented MR image compression and de-noising algorithm and software using wavelet transform with soft-thresholding • Taught the graduate course Medical image processing at Peking University (class size: 11), Spring 1998. ## Education ### Ph.D. in Electronic Engineering Beijing Institute of Technology ### MS in Electronic Engineering Beijing Institute of Technology ### Liling Yizhong ## Contact & Social - LinkedIn: https://linkedin.com/in/yuanmu-deng --- Source: https://flows.cv/yuanmu JSON Resume: https://flows.cv/yuanmu/resume.json Last updated: 2026-04-12