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    Qian Zhao

    AI Data Scientist, Vice President at JPMorgan Chase & Co.

    Qian Zhao is the VP of Data Science at Jpmorgan Chase & Co., leading R&D efforts in deep learning and computer vision algorithms for financial services. With over 7 years of experience in machine learning, computer vision, and medical imaging, Zhao is known for his passion, dedication, and sense of responsibility in his work. His research interests span machine learning, deep learning, pattern recognition, computer vision, medical image and video analysis, and computer-aided diagnosis.

    Specializing in machine learning, medical image and video analysis, computer vision, computer-aided diagnosis, and pattern recognition, Zhao brings a wealth of expertise with 7+ years in the field. He has also delved into deep learning for over 4 years, particularly in computer vision applications like image recognition, object detection, and semantic segmentation, as well as time series data analysis. Proficient in frameworks like Caffe, TensorFlow, and Keras, Zhao is skilled in Python, MATLAB, and C++. He is well-versed in using cloud platforms like AWS.

    Zhao's educational background includes a focus on Computer Science at The Johns Hopkins University, a Doctorate in Philosophy in Engineering from The Chinese University Of Hong Kong, and a Bachelor's in Biomedical Engineering from Xi'An Jiaotong University.

    Throughout Zhao's career, he has held roles such as Staff Data Scientist and Senior Data Scientist at Ge, Independent Contractor at Proscia, Lead Data Scientist at Tissue Analytics, Inc., and Advanced Researcher at Docomo Beijing Lab. He also has experience as a Research Postdoctoral Fellow at Children's National Health System, a Visiting Student at The Johns Hopkins University, and a Teaching Assistant and Research Assistant at The Chinese University Of Hong Kong.

    Highlights

    ‪Qian Zhao‬ - ‪Google Scholar‬
    MS Alumni | Department of Statistics | The University of Chicago

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    Location

    San Francisco Bay Area
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