Miranda Wu
About Miranda Wu
Miranda Wu serves as the Product Director for Medical AI at 華碩 in Taipei City, Taiwan, where she has worked since 2019. She holds a Bachelor's degree in Electrical, Electronics and Communications Engineering from National Central University and a Master's degree in Electrical Engineering from Columbia University.
Work at ASUS
Miranda Wu has been serving as the Product Director for Medical AI at ASUS since 2019. In this role, she focuses on integrating artificial intelligence into medical applications, aiming to enhance clinical insights for healthcare professionals. Prior to her current position, she held various roles at ASUS, including Senior Product Manager from 2011 to 2017 and Product Manager from 2008 to 2010. She also worked as a Senior Product Manager for 11 months in 2018, contributing to the development of innovative products in the medical sector.
Education and Expertise
Miranda Wu holds a Bachelor's degree in Electrical, Electronics and Communications Engineering from National Central University, where she studied from 1998 to 2002. She furthered her education by obtaining a Master's degree in Electrical Engineering from Columbia University in the United States, completing her studies from 2003 to 2005. Her academic background provides a strong foundation for her expertise in product development and medical technology.
Background
Miranda Wu has a significant tenure at ASUS, spanning over a decade. Her career at the company began in 2008 as a Product Manager, where she worked for two years before advancing to Senior Product Manager roles. Her experience in product management has equipped her with the skills necessary to lead projects in the medical AI field. Her work is primarily based in Taipei City, Taiwan, where she has been instrumental in driving product innovation.
Achievements
In her role as Product Director for Medical AI, Miranda Wu successfully deployed medical SaaS services in collaboration with several esteemed hospitals in Taiwan. Her initiatives focus on leveraging AI technology to provide data-driven clinical insights, which assist healthcare professionals in making informed decisions. This work highlights her commitment to improving healthcare delivery through technological advancements.