Onur Mudanyali
Distinguished Data Scientist @Edwards Lifesciences
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WORK HISTORY
Distinguished Data Scientist @Edwards Lifesciences
Irvine, CA, US
Strategic Data & Digital Innovation for Engineering, Manufacturing, Quality, EH & S, Product Usability, and Clinical R & DDriving advanced analytics and AI solutions to optimize operations, accelerate patient-focused innovation, and enhance product usability across global healthcare systems- Deep Learning & Vision AI: Applied Vision Transformer architectures for defect detection, usability analysis, and quality assurance, improving product reliability and user experience- Small Vision Models: Developed lightweight vision models to enable rapid innovation, proactive quality control, and operational efficiency, reducing cycle times and costs- Generative AI & LLMs: Designed and deployed large language model applications for knowledge automation and decision support, streamlining workflows and accelerating insights- IoT for Real-Time Inventory: Built IoT-enabled applications for dynamic inventory tracking and supply chain visibility, ensuring uninterrupted operations- Software Development & Management: Delivered robust solutions using Python and QT frameworks for scalable deployment.
EDUCATION
UCLA
Doctor of Philosophy (PhD), Electrical Engineering
Istanbul Technical University
BSc & MSc, Electronics and Communications Engineering
University of California, Irvine - The Paul Merage School of Business
Master of Business Administration - MBA
ABOUT ONUR MUDANYALI
Digital innovation leader working across science, engineering, and business to turn complex problems into practical healthcare solutions. Proven depth in AI/ML, computer vision, automation, and digital systems, combined with product thinking, business strategy, and strong domain understanding.Entrepreneurial leader with end‑to‑end experience across product creation, partnerships, and M&A, translating technical innovation into viable businesses in regulated settings.Recognized innovator with multiple patents and high‑impact publications (5,500+ citations, h‑index 25) in journals including Nature Photonics and Nature Methods, focused on learning quickly and applying technology where it changes real outcomes.
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