Kyle Wang has a strong background in imaging science and software development. Kyle started their career at DairyNZ as a Data Analyst in 2012 before moving on to Gunma University as a Visiting Research Scholar in 2013. In 2014, they joined both the Auckland Bioengineering Institute as a Software Developer and the University of Waikato as a Tutor/Lab Demonstrator. At the Auckland Bioengineering Institute, they developed software and gained experience in computational neuroscience and biophysics. At the University of Waikato, they taught courses on computer programming and physics. Since 2014, Kyle has been working at Volpara Health, starting as an Imaging Scientist and progressing to roles with increased responsibilities, such as Senior Imaging Scientist and currently as Principal Imaging Scientist. Kyle'swork at Volpara Health includes developing imaging solutions and algorithms to improve quantitative analysis of radiological imaging products, as well as developing a deep learning-based imaging engine for a mammography reporting system called ProjectThumb.
Kyle Wang graduated with a Bachelor of Science in Physics Teacher Education from Huzhou Teachers College in 2006. Kyle then pursued a Master of Physics degree in Theoretical and Mathematical Physics from Zhejiang Normal University from 2006 to 2009. Following that, they completed a Doctorate of Philosophy in Computational Science at The University of Waikato from 2009 to 2014.
In addition to their formal education, Kyle Wang has obtained several certifications. These include the "AI-102 Microsoft Azure AI Solution Complete Exam Prep" from Udemy in May 2023, "Image Processing with MATLAB" from MathWorks in September 2022, "Certificate of Completion PHRP Online Training" from Protecting Human Research Participants Online Training in December 2021, "Natural Language Processing in Microsoft Azure" from Coursera in December 2021, "Essential Design Principles for Tableau" from Coursera in November 2021, "Fundamentals of Visualization with Tableau" from Coursera in October 2021, "Databases and SQL for Data Science" from Coursera in September 2021, "Introduction to Machine Learning in Production" from Coursera in August 2021, "Apply Generative Adversarial Networks (GANs)" from Coursera in November 2020, "Build Better Generative Adversarial Networks (GANs)" from Coursera in November 2020, "AI for Medical Diagnosis" from Coursera in October 2020, "AI for Medical Prognosis" from Coursera in October 2020, "Build Basic Generative Adversarial Networks (GANs)" from Coursera in October 2020, "Convolutional Neural Networks in TensorFlow" from Coursera in October 2020, "TensorFlow Serving with Docker for Model Deployment" from Coursera in October 2020, "AutoML for Computer Vision with Microsoft Custom Vision" from Coursera in September 2020, "Browser-based Models with TensorFlow.js" from Coursera in September 2020, "Detecting COVID-19 with Chest X-Ray using PyTorch" from Coursera in September 2020, and "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" from Coursera in September 2020.
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