Edwin (Xue Yong) Fu
About Edwin (Xue Yong) Fu
Edwin (Xue Yong) Fu is a Senior Applied Scientist currently at Dialpad in Vancouver, Canada, specializing in deep learning for natural language processing. He has a background in physics and has held various roles in data science and analysis across multiple companies in Singapore, Australia, and Canada.
Work at Dialpad
Currently, Edwin Fu serves as a Senior Applied Scientist at Dialpad, a position he has held since 2022 in Vancouver, British Columbia, Canada. Prior to this role, he worked as an Applied Scientist at Dialpad from 2019 to 2022, also in Vancouver. In his current role, he specializes in applying deep learning techniques to real-time natural language processing applications for phone conversations.
Previous Experience in Data Science
Edwin Fu has a diverse background in data science. He worked at PatSnap as a Data Scientist from 2017 to 2019 in Singapore. Before that, he was a Data Scientist at ASUS for one year in Brisbane Area, Australia, from 2015 to 2016. Additionally, he served as a Data Analyst at Oddle for 10 months in Singapore in 2016. His experience spans various roles, contributing to his expertise in data-driven applications.
Education and Expertise
Edwin Fu holds a Bachelor of Applied Science (B.A.Sc.) in Physics from National Cheng Kung University, where he studied from 2007 to 2011. He furthered his education with a Master of Science (M.S.) in Physics from National Taiwan University, completing his studies from 2011 to 2013. His academic background supports his specialization in deep learning and natural language processing.
Teaching Experience
Edwin Fu gained teaching experience as a Teaching Assistant for General Physics at National Taiwan University from 2012 to 2013 in Canberra Area, Australia. This role allowed him to support students in understanding complex physics concepts, enhancing his communication and instructional skills.
Passion for Research and Knowledge Sharing
Edwin Fu is passionate about understanding the mathematical theories behind machine learning algorithms. He actively engages with the latest research in deep learning and natural language processing. Additionally, he creates YouTube videos to share insights and knowledge gained from research papers, contributing to the broader community's understanding of these fields.