Tzu-Han Lin

Background

About Tzu-Han Lin

I am a Master's graduate in Computer Information Systems from Kean University, specializing in innovative software solutions and deep learning. My academic foundation is rooted in medical science and computer science, enabling me to effectively merge technical proficiency with a profound insight into healthcare applications. During my graduate studies, I worked as a part-time software developer at Kean University's Institutional Research. Here, I engineered an ASP.NET system for IPEDS reporting, incorporating robust annual data storage and sophisticated inter-year validation mechanisms. This system significantly enhanced the efficiency of the reporting process. My research predominantly explores the potential of deep learning in medical imaging. I authored the paper "Weakly Supervised Breast Ultrasound Image Segmentation Based on Image Selection," which is scheduled for presentation at the 46th Annual International Conference of the Engineering in Medicine and Biology Society in 2024. Driven by a passion to solve complex challenges through technology, I am continually seeking opportunities to apply my skills in dynamic and demanding environments. Feel free to connect with me at lintzuh@kean.edu / tzulin13579@gmail.com Skills: Languages: Python, Java, C#, JavaScript, HTML/CSS, PHP Databases: MySQL, MS SQL Web development framework: ASP.NET, bootstrap, Flask Cloud: Azure Deep Learning framework: Pytorch