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    Ji Wang

    Senior Machine Learning Scientist in Leica Biosystems. Building AI model for digital pathology.

    Ji Wang is an accomplished professional with over 9 years of combined research and working experience, specializing in machine learning, computer vision, and statistical analysis. With 5+ years specifically dedicated to work experience, Ji possesses a wealth of knowledge and expertise in various machine learning techniques including deep learning, feature selection, dimension reduction, clustering, decision tree, reinforcement learning, and more.

    Ji Wang has a strong background in convolutional neural networks (CNN) structures, with proficiency in architectures like Dense-Net, Res-Net, and U-Net. Their programming skills are highly proficient, particularly in Python using frameworks like Tensorflow and OpenCV, as well as in R. Additionally, Ji has solid knowledge in probability theory, detection and estimation theory, as well as sensor/data fusion.

    Education-wise, Ji Wang holds a Doctor of Philosophy (PhD) in Electrical Engineering from Drexel University, along with a Bachelor's degree in Electrical Engineering from Harbin Engineering University. Ji has held key roles in esteemed organizations, currently serving as a Senior Machine Learning Scientist at Leica Biosystems. Previously, Ji worked as a Machine Learning Software Engineer at Essenlix Corporation and held roles at FutureWei Technologies as a Machine Learning Software Engineer (Contractor and Intern), as well as a Research Assistant at Drexel University.

    Ji Wang
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    Location

    Monmouth Junction, New Jersey, United States