Kim Nguyen
NTU, MSc. Smart Medicine and Health Informatics
Taipei, Taiwan
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Coming from a non-traditional background in International Business, I began my journey into Data Science and Machine Learning as a self-taught learner, driven by curiosity and a desire to solve real-world problems. Over time, my interest evolved into a clear mission: to apply technology in a way that creates tangible impact in healthcare.
My journey into tech started outside of the traditional path, but led me straight into the intersection of healthcare and data. Now as a Master’s student in Smart Medicine and Health Informatics at National Taiwan University, I’m focused on Biomedical Informatics - designing technologies that are not only intelligent, but also meaningful in real-world clinical settings.
I'm passionate about building solutions where clinical insight meets technical precision, and where ethical, explainable AI plays a critical role. I believe the future of healthcare isn’t just smart - it’s also transparent, human-centered, and inclusive.
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Hands-on AI for Smart Medical Imaging
In this hands-on session, we'll dive into AI-driven healthcare solutions by building a Chest X-ray analysis application using TensorFlow and Grad-CAM. You’ll walk through the entire process, learn how to harness deep learning models to detect potential abnormalities in medical images, enhancing diagnostic tools for healthcare professionals.
This workshop is designed to be interactive, so participants will have the opportunity to apply these techniques themselves and walk away with a better understanding of how AI can transform healthcare. And you're encouraged to bring your own laptop to join the session, because this session offers a complete, step-by-step experience - from setting up your Google Colab environment, preparing real-world datasets, training the model, to visualizing the results.
Whether you’re passionate about AI, healthcare, or both - this is your chance to explore the intersection of technology and medicine through code, models, and meaning.
DevFest Taipei 2025 Sessionize Event
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